CN112172832B - Automatic driving system capable of monitoring safety state of driver - Google Patents

Abstract

The invention relates to the technical field of automatic driving, and discloses an automatic driving system capable of monitoring the safety state of a driver, which comprises a state acquisition module, an information processing module and an action execution module, wherein the state acquisition module acquires the current sign state information of the driver and sends the sign state information to the information processing module, the information processing module compares the acquired sign state information with preset information and outputs a judgment instruction, and the action execution module controls an execution unit to execute a rescue strategy according to the judgment instruction. The invention can monitor the sign information of the driver in real time, can call the automatic driving system to take over the vehicle in time when finding that the driver is in the state of being incapable of operating the vehicle, and executes the corresponding rescue strategy to rescue the driver, thereby reducing the probability of the vehicle driving accident when the driver is in the emergency state and loses the control capability of the vehicle, and meanwhile, the driver can be rescued in time through the related rescue strategy.

Description

Automatic driving system capable of monitoring safety state of driver

Technical Field

The invention relates to the technical field of automatic driving, in particular to an automatic driving system capable of monitoring the safety state of a driver.

Background

With the development of technology, the automatic driving automobile is becoming an important development direction of the current automobile. The automatic driving automobile depends on the cooperation of artificial intelligence, visual calculation, radar, monitoring device and global positioning system, so that the computer can automatically and safely operate the motor vehicle to move without any active operation of human. The automatic driving vehicle can help improve the travel convenience and the travel experience of people, and can also greatly improve the travel efficiency of people and the driving comfort in long-distance travel.

In the daily driving process, the situation that the driver loses consciousness due to sudden diseases and cannot control the vehicle often occurs, the vehicle is in an out-of-control state under the situation, traffic accidents are easily caused, and great potential safety hazards exist.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide the automatic driving system capable of monitoring the safety state of the driver, and the system can timely call the automatic driving system to control the vehicle to a safe parking position and send help seeking information when the driver loses consciousness and cannot control the vehicle, so that the driving safety of the vehicle is improved.

In order to achieve the above purpose, the invention provides the following technical scheme: an automatic driving system capable of monitoring the safety state of a driver comprises a state acquisition module, an information processing module and an action execution module, wherein the state acquisition module acquires current sign state information of the driver and sends the sign state information to the information processing module, the information processing module compares the acquired sign state information with preset abnormal state information and outputs a judgment instruction, and the action execution module receives the judgment instruction and controls an execution unit to execute a rescue strategy according to the judgment instruction;

the state acquisition module comprises a sign information acquisition unit, the sign information acquisition unit can acquire real-time sign information of a driver, the real-time sign information comprises blood pressure, heart rate and body temperature information of the driver in the current state, and the real-time sign information is sent to the information processing module; the physical sign information acquisition unit is an existing wearable health detection bracelet;

the information processing module comprises a pathological information configuration library and a judgment strategy and result sending module, wherein a normal data packet and a plurality of groups of pathological data packets are prestored in the pathological information configuration library, first abnormal information is recorded in the plurality of groups of pathological data packets, the first abnormal information is sign information under the morbidity state of a plurality of diseases, the first normal information is recorded in the normal data packet, the first normal information is sign data when a driver is in the normal state, the judgment strategy comprises a comparison trigger sub-strategy, an abnormal acquisition sub-strategy and a diagnosis sub-strategy, the comparison trigger sub-strategy judges whether real-time sign information is in the range of the first normal information, if the real-time sign information is not in the range of the first normal information, the abnormal acquisition sub-strategy calls a sign information acquisition unit to acquire the real-time sign information for a plurality of times and records the real-time sign information as the first trigger information, the continuous execution duration of the abnormal acquisition sub-strategy is a first judgment duration, and the time interval of every two times of acquisition is set as a first acquisition interval; the abnormity acquisition sub-strategy respectively judges whether a plurality of groups of first trigger information are in the numerical range of the physical sign information of any one disease in the first abnormity information and records the judgment result as a first comparison quantity; the diagnosis sub-strategy judges a judgment result in the first comparison quantity, and outputs first emergency information when the judgment result is that a driver is in a disease state, wherein the first emergency information is sent to the action execution module through the result sending module;

the action execution module comprises a receiving unit and a control unit, when the receiving unit receives the first emergency information, the control unit controls the execution unit to execute a rescue strategy, and the rescue strategy is used for implementing a rescue behavior for the driver. This scheme passes through the sign acquisition unit to the collection of the real-time sign health information of driver and in time judges driver's health status through information processing module, when the driver loses consciousness and when unable control vehicle, even call automatic driving system to intervene and stop the vehicle to safe position and send the information of seeking help, can reduce the potential safety hazard of vehicle and can salvage the driver fast from this, reduces its life danger.

In the present invention, the diagnosis sub-strategy includes a diagnosis screening table, a diagnosis confirming algorithm and a diagnosis confirming sub-strategy, the diagnosis confirming algorithm is used for judging whether the first trigger information acquired each time is in a physical sign range in different pathological data packets and outputting a first diagnosis confirming result, the diagnosis screening table is used for recording all the first diagnosis results within a first judgment time length, the diagnosis confirming sub-strategy is used for counting a plurality of continuous post-position judgment results in each disease judgment column in the diagnosis screening table, and if the plurality of judgment results are all in a disease state, the first emergency information is output. The scheme can increase the accuracy of the judgment result of the health state of the driver.

In the present invention, further, an update policy is configured in the information processing module, the update policy includes an update judgment sub-policy and an information replacement sub-policy, the update judgment sub-policy judges whether to trigger an update, the information replacement sub-policy is used to replace new information into a pathological information configuration library, a first update interval is set in the update judgment sub-policy, and when the first update interval reaches a threshold, the information replacement sub-policy is started to request to enter again first abnormal information and current first normal state information of a driver, and replace the original first abnormal information and first normal state information. According to the scheme, the first abnormal information and the first normal state information of the current driver are updated in time by setting the first updating interval, so that the data in the pathological information configuration library are adjusted in time along with the change of the age and the change of the physical state of the driver in later use, and the correctness of the judgment result is improved.

The invention further comprises a manual opening and closing module, wherein the manual opening and closing module is used for controlling when receiving the manual control instruction and sending the manual control instruction into the action execution module. The scheme can increase the rescue strategy activated by artificial active operation to rescue the driver, is more humanized, and can further improve the accuracy of the instruction triggering the execution of the rescue strategy by combining the two modes of monitoring and judging by the system and the active artificial starting of the driver.

In the present invention, the update determination sub-policy includes a first determination policy, and when the first determination policy identifies that the action execution module receives only the opening instruction of the artificial control instruction and does not receive the first emergency information within the first identification duration, the information replacement sub-policy is started to request to re-enter the first abnormal information and the current first normal state information of the driver, and replace the original first abnormal information and the first normal state information. The updating judgment sub-strategy of the scheme can supplement and update the first abnormal information and the first normal information in the pathological information configuration library in time so as to ensure the accuracy of the judgment result in later use.

In the present invention, the morbid state data packet further includes a morbidity report and a rescue call instruction, where the morbidity report includes first disease information and first-aid information, and the rescue call instruction is used to open a corresponding rescue strategy. This scheme can in time inform the sick state of driver and the first aid measure that corresponds through the report of onset of illness in the sick data package, can other people can be more scientific and accurate to the driver rescue, in addition, can open corresponding car interior action of saving oneself respectively according to required posture of lying down and the car internal environment state under the sick condition through the rescue call instruction, the rescue measure that corresponds to different types of illness in the sick data package of accessible comes the differentiation and rescues, can improve the success rate of rescue.

In the invention, the rescue strategy further comprises a basic rescue strategy, the basic rescue strategy comprises a road condition planning sub-strategy and an emergency state display sub-strategy, the road condition planning sub-strategy is used for planning a nearest safe parking position and calling an automatic driving system to drive the vehicle to the safe parking position, the emergency state display sub-strategy is used for displaying the morbidity report to a driving computer, and a display component of external rescue information of the vehicle is started to help the passing vehicle for rescue. According to the scheme, the vehicle can be driven to a safe position to reduce the potential safety hazard of driving on the road by setting a basic rescue strategy, and then the subsequent rescue strategy is carried out.

In the present invention, the rescue strategy further includes a first rescue sub-strategy, the first rescue sub-strategy includes a posture adjustment sub-strategy and an in-vehicle environment adjustment strategy, the posture adjustment sub-strategy is used for adjusting the posture of the driver seat to change the sleeping posture of the driver, the in-vehicle environment adjustment strategy is used for adjusting the environment temperature in the vehicle, and the rescue call instruction starts the first rescue sub-strategy. The scheme can firstly carry out self-rescue action on the driver at the first time through corresponding self-rescue measures so as to strive for more survival time.

In the present invention, the rescue strategy further includes a second rescue sub-strategy, and the second rescue sub-strategy is configured to generate first-aid information and send the first-aid information to the mobile terminal of the first security contact. This solution seeks help by sending information to the first secure contact.

In the invention, further, a posture adjusting air bag is arranged on the driver seat, the posture adjusting air bag is arranged at the joint of the backrest and the seat cushion of the driver seat, and the posture adjusting air bag is filled with gas and then used for adjusting the lying posture of a driver on the driver seat. This scheme adjusts the posture of lying of driver through setting up the accent appearance gasbag and cooperating the seat, can adjust the driver to the state of lying through increasing the accent appearance gasbag.

Compared with the prior art, the invention has the beneficial effects that:

the invention monitors the physical sign information of the driver in real time by arranging the state acquisition module, the information processing module and the action execution module, can call the automatic driving system to take over the vehicle in time when finding that the driver is in a state of being incapable of operating the vehicle, and can drive to the appointed safe parking position through the route planned by the navigation system, and execute the corresponding rescue strategy to rescue the driver, thereby reducing the probability of driving accidents of the vehicle when the driver is in a sudden state and loses the control capability of the vehicle, reducing the potential safety hazard, and simultaneously can rescue the driver in time through the related rescue strategy to improve the probability of being rescued and improve the survival possibility of the driver.

Drawings

FIG. 1 is a schematic diagram of the system of the present invention.

FIG. 2 is a logic diagram of identifying the health status of a driver in an information processing module.

FIG. 3 is a logic flow diagram of an update strategy in the present invention.

Fig. 4 is a schematic view of the posture-adjusting airbag on the driver seat when opened.

In the drawings: 1. a physical sign information acquisition unit; 21. a pathological information configuration library; 211. first normality information; 212. first anomaly information; 22. judging a strategy; 221. comparing the trigger sub-strategies; 222. an exception collection sub-policy; 223. a diagnostic sub-strategy; 23. a result sending module; 24. updating the strategy; 241. updating the judgment sub-strategy; 242. an information replacement sub-policy; 3. an action execution module; 31. a basic rescue strategy; 32. a first rescue sub-strategy; 33. a second rescue sub-strategy; 4. an opening and closing module; 51. a seat cushion; 52. a backrest; 53. a posture adjusting air bag; 54. the airbag is provided with a bag.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Referring to fig. 1 to 4, the present invention provides an automatic driving system capable of monitoring a safety state of a driver, including a state acquisition module, an information processing module and an action execution module 3, wherein the state acquisition module acquires current sign state information of the driver and sends the sign state information to the information processing module, the information processing module compares the acquired sign state information with preset abnormal state information and outputs a determination instruction, and the action execution module 3 receives the determination instruction and controls an execution unit to execute a rescue strategy according to the determination instruction;

the state acquisition module comprises a sign information acquisition unit 1, the sign information acquisition unit 1 can acquire real-time sign information of a driver, the real-time sign information comprises blood pressure, heart rate and body temperature information of the driver in the current state, and the real-time sign information is sent to the information processing module; the physical sign information acquisition unit 1 is an existing wearable health detection bracelet, the monitoring bracelet needs to be worn to a relevant part of a driver according to a use instruction when driving, accuracy of blood pressure, heart rate and body temperature information acquired by the monitoring bracelet is guaranteed, the physical sign information acquisition unit 1 is in communication connection with an information processing module, the physical sign information acquisition unit 1 can timely transmit the relevant information acquired at ordinary times to the information processing module for comparison and judgment, and meanwhile an abnormal acquisition sub-strategy 222 in the information processing module can control the physical sign information acquisition unit 1 to execute a corresponding acquisition strategy;

as shown in fig. 2, the information processing module includes a pathological condition information configuration library 21, a determination policy 22 and a result sending module 23, the pathological condition information configuration library 21 pre-stores a normal data packet and a plurality of pathological condition data packets, the plurality of pathological condition data packets record first abnormal information 212, the first abnormal information 212 is a numerical range of blood pressure, heart rate and body temperature under the disease state of a plurality of diseases, the normal data packet records first normal information 211, the first normal information 211 is a numerical range of blood pressure, heart rate and body temperature under the normal state of a driver, the determination policy 22 includes a comparison trigger sub-policy 221, an abnormal acquisition sub-policy 222 and a diagnosis sub-policy 223, the comparison trigger sub-policy 221 determines whether the numerical value of the corresponding item in the real-time physical sign information acquired by the physical sign information acquisition unit 1 is within the numerical range of the corresponding item defined in the first normal condition information 211, if the real-time sign information is not within the range of the first normal state information 211, the abnormal acquisition sub-strategy 222 calls the sign information acquisition unit 1 to acquire the real-time sign information for multiple times and records the acquired real-time sign information as first trigger information, the continuous execution time of the abnormal acquisition sub-strategy 222 is a first judgment time, the first judgment time can be adjusted and set according to specific conditions, the basic setting can be 1min, and the sign information is continuously acquired for multiple times within 1min continuously to serve as the basis of the final judgment result. Setting the time interval of every two times of acquisition as a first acquisition interval; the interval needs to be selected according to the set first determination duration, and it is usually required to ensure that the data collected in the first determination duration is at least 10 times, so that the specific value of the corresponding first collection interval can be calculated, and the first collection interval needs to meet the minimum interval time required in the collection operation of the physical sign information collection unit 1. Therefore, the accuracy of the data collected every time can be ensured.

The abnormality acquisition sub-strategy 222 respectively determines whether the multiple sets of first trigger information are within the numerical range of the sign information of any one disease in the first abnormal information 212 and records the determination result as a first comparison quantity; the diagnosis sub-strategy 223 judges the judgment result in the first comparison quantity, and outputs first emergency information when the judgment result is that the driver is in a disease state, and the first emergency information is sent to the action execution module 3 through the result sending module 23;

the diagnosis sub-strategy 223 includes a diagnosis screening table, a diagnosis confirming algorithm and a diagnosis confirming sub-strategy, wherein the diagnosis confirming algorithm is used for judging whether the first trigger information acquired each time is in a physical sign range in different pathological data packets and outputting a first diagnosis confirming result, the diagnosis screening table is used for recording all first diagnosis results within a first judgment duration, and the diagnosis confirming sub-strategy is used for counting multiple continuous back bit judgment results in each disease judgment column in the diagnosis screening table.

The diagnosis confirming algorithm is set as follows:

in the judging process, when a judging formula of the diagnosis confirming algorithm is established, recording a first diagnosis result as O, otherwise, recording the first diagnosis result as X;

z is a heart rate judgment value, U is a blood pressure judgment value, G is a body temperature judgment value, wherein Z, U and G can only take values of 0 or 1, when the acquired physical sign data fall in the range of abnormal physical sign data prestored in a pathological data packet, the value is 1, otherwise the value is 0; k is a weight coefficient of a selectable value1. 2 and 3, configuring the value of K according to the predetermined judgment priority of the corresponding physical sign item in the pathological data packet of each disease, wherein the K value configured by the item with higher judgment priority is larger, for example, the judgment priority configured in the pathological data packet of the disease A is the heart rate>Blood pressure>Body temperature, the formula of the judgment algorithm of the disease A is as follows:

the specific form of the diagnostic screening table is shown in table 1:

TABLE 1

And outputting the result of the first diagnosis result O as a disease occurrence result when the result of the first diagnosis result O continuously appears till the end in the whole judging process and the proportion of the times of the first diagnosis result O to the total judging times is more than 0.6, otherwise, outputting the result of the first diagnosis result O as a non-disease state, and outputting first emergency information when the result of the first diagnosis result O is judged as the disease occurrence state.

The action execution module 3 comprises a receiving unit and a control unit, when the receiving unit receives the first emergency information, the control unit controls the execution unit to execute a rescue strategy, and the rescue strategy is used for implementing a rescue behavior for the driver. The rescue strategy includes a basic rescue strategy 31, a first rescue sub-strategy 32 and a second rescue sub-strategy 33, and the execution unit activates a safety assurance strategy and a rescue seeking strategy which are the most basic of the two rescue strategies, i.e., the basic rescue strategy 31 and the second rescue sub-strategy 33, when receiving the first emergency information under a normal state.

The basic rescue strategy 31 includes a road condition planning sub-strategy and an emergency display sub-strategy, the road condition planning sub-strategy is used for starting the navigation system to plan a safe route reaching the nearest safe parking position and calling the automatic driving system to drive the vehicle to the safe parking position along the safe route, the emergency display sub-strategy is used for displaying a disease onset report to the driving computer, the disease onset report mainly includes the disease condition introduction of the driver and corresponding rescue measures, the content in the disease onset report is downloaded from a disease condition data packet corresponding to each disease in the disease onset state, and the disease condition data packet stores the disease onset sign phenomenon introduction of the disease and a rescue method of the disease in advance. Meanwhile, the emergency display sub-strategy is used for displaying help seeking information to the outside, such as starting light outside the vehicle and controlling a flashing mode of the light or controlling a whistling mode of the vehicle to help the passing vehicle for rescue.

The second rescue sub-policy 33 is used to generate and send rescue information to the mobile end of the first security contact. The emergency information comprises the illness state brief introduction of a driver and the parking position of a vehicle, and the emergency information can be sent to the mobile phone end of the first safety contact person in a short message mode when a disease occurs through the contact mode of the first safety contact person set in the previous period.

The sick data packet further comprises a rescue calling instruction, and the rescue calling instruction is used for starting a corresponding rescue strategy. The rescue calling instruction can be formulated according to different corresponding rescue measures under the condition of no disease occurrence, if the result is determined that the driver is in the disease occurrence state of the disease A, the rescue calling instruction pre-stored in the corresponding disease A ill-condition data packet is used for adjusting the included angle between the driver seat and the backrest 52 and the seat cushion 51 to be A degrees, and the air conditioner is turned on and outputs the temperature to be A degrees.

The first rescue sub-strategy 32 is used for executing rescue measures designated in a rescue calling instruction, the first rescue sub-strategy 32 comprises a posture adjusting sub-strategy and an in-vehicle environment adjusting strategy, the posture adjusting sub-strategy is used for adjusting the posture of a seat at a driving position to change the lying posture of a driver, the execution of the posture adjusting sub-strategy needs to ensure that the seat used by the driver seat of the driving vehicle is an electric adjusting seat, and therefore the controller of the electric seat can be controlled through the posture adjusting sub-strategy to start adjustment of the seat. The in-vehicle environment regulation strategy is connected with an air conditioning module of the vehicle-mounted air conditioner, and the in-vehicle environment temperature is regulated by inputting an instruction into the air conditioning module.

As shown in fig. 4, a posture adjusting airbag 53 is arranged on the driving seat, the posture adjusting airbag 53 is arranged at the joint of the backrest 52 and the seat cushion 51 of the driving seat, a gas generator of the posture adjusting airbag 53 is arranged inside the seat cushion 51 or the backrest 52, an inflating part of the posture adjusting airbag 53 is folded and filled in a mounting cavity of the seat cushion 51 when the airbag is not inflated, the inflating part is communicated with the gas generator, when the airbag opening command in the rescue call command is received, the gas generator fills gas into the inflating part to expand the inflating part, so that the airbag is taken out from the mounting cavity and is expanded and filled between a driver and the seat, and the inflating part is filled with gas to adjust the lying posture of the driver on the driving seat. An air bag mounting bag 54 can be sewn and fixed at the joint of the backrest 52 and the seat cushion 51 so as to put the posture-adjusting air bag 53 into the air bag mounting bag, and an easy-to-detach opening is formed in the air bag mounting bag 54 and is popped up by a torn air bag when the air bag is opened. The posture-adjusting airbag 53 can be an existing airbag, and is different in that the inflating part of the posture-adjusting airbag 53 is made of sealing materials such as rubber, and the specific connecting structure and the installation control mode of the posture-adjusting airbag 53 are the prior art and are not described in detail. The lying posture of the driver can be adjusted to be in a lying state by additionally arranging the support of the posture adjusting air bag 53 on the waist and the hip of the driver, so that the smoothness of breathing of the driver in a coma state can be ensured.

As shown in fig. 3, the following two update start strategies are used for updating the state of the information in the pathological information configuration library 21 in time so as to ensure the accuracy of the information, and the new information for updating mainly comes from the values recorded in the physical sign information acquisition unit 1 for the actually acquired physical sign data.

The information processing module is configured with an update policy 24, the update policy 24 includes an update judgment sub-policy 241 and an information replacement sub-policy 242, the update judgment sub-policy 241 judges whether to trigger an update, the information replacement sub-policy 242 is used to replace new information into the pathological information configuration library 21, a first update interval is set in the update judgment sub-policy 241, and when the first update interval reaches a threshold, the threshold can be set by user, usually for 3 months or half a year. The start information replacement sub-policy 242 requests the first abnormal information 212 and the current first normality information 211 of the driver to be entered again, and replaces the original first abnormal information 212 and first normality information 211. According to the scheme, the first abnormal information 212 and the first normal information 211 of the current driver are updated in time by setting the first updating interval, so that the data in the pathological information configuration library 21 are adjusted in time along with the change of the age and the change of the physical state of the driver in later use, and the correctness of the judgment result is improved.

The manual starting and stopping module 4 is used for controlling when receiving an artificial control instruction, and sending the artificial control instruction to the action execution module 3. The arrangement can increase the activation or the closing of the rescue strategy through manual active operation, is more humanized, and can further improve the accuracy of the instruction for triggering the rescue strategy to be executed through the combination of the monitoring and the judgment of the system and the active and manual opening of the driver.

The update determination sub-strategy 241 includes a first determination strategy, and when the first determination strategy identifies that the action execution module 3 only receives the opening instruction of the artificial control instruction and does not receive the first emergency information within the first identification duration, the start information replacement sub-strategy 242 requests to re-enter the first abnormal information 212 and the current first normal state information 211 of the driver, and replaces the original first abnormal information 212 and the original first normal state information 211. The updating judgment sub-strategy 241 of this scheme can timely supplement and update the first abnormal information 212 and the first normal information 211 in the pathological information configuration library 21 to ensure the accuracy of the judgment result in the later use.

The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.

Claims (9)

1. An automatic driving system capable of monitoring the safety state of a driver is characterized by comprising a state acquisition module, an information processing module and an action execution module (3), wherein the state acquisition module acquires current sign state information of the driver and sends the sign state information to the information processing module, the information processing module compares the acquired sign state information with preset abnormal state information and outputs a judgment instruction, and the action execution module (3) receives the judgment instruction and controls an execution unit to execute a rescue strategy according to the judgment instruction;

the state acquisition module comprises a sign information acquisition unit (1), the sign information acquisition unit (1) acquires real-time sign information of a driver, the real-time sign information comprises blood pressure, body temperature and heart rate information of the driver in the current state, and the real-time sign information is sent to the information processing module;

the information processing module comprises a pathological information configuration library (21), a judgment strategy (22) and a result sending module (23), wherein a normal state data packet and a plurality of groups of pathological state data packets are prestored in the pathological state information configuration library (21), first abnormal information (212) is recorded in the plurality of groups of pathological state data packets, the first abnormal information (212) is sign information under the pathological states of a plurality of diseases, first normal state information (211) is recorded in the normal state data packets, the first normal state information (211) is sign data of a driver in the normal state, the judgment strategy (22) comprises a comparison trigger sub-strategy (221), an abnormal acquisition sub-strategy (222) and a diagnosis sub-strategy (223), the comparison trigger sub-strategy (221) judges whether real-time sign information is in the range of the first normal state information (211), and if the real-time sign information is not in the range of the first normal state information (211), the abnormal acquisition sub-strategy (222) calls a physical sign information acquisition unit (1) to acquire real-time physical sign information for multiple times and records the real-time physical sign information as first trigger information, the continuous execution time of the abnormal acquisition sub-strategy (222) is a first judgment time, and the time interval of every two times of acquisition is set as a first acquisition interval; the abnormal acquisition sub-strategy (222) respectively judges whether the multiple groups of first trigger information are in the numerical range of the sign information of any one disease in the first abnormal information (212) and records the judgment result as a first comparison quantity; the diagnosis sub-strategy (223) judges the judgment result in the first comparison quantity, and outputs first emergency information when the judgment result is that the driver is in a disease state, and the first emergency information is sent to the action execution module (3) through the result sending module (23);

the action execution module (3) comprises a receiving unit and a control unit, when the receiving unit receives the first emergency information, the control unit controls the execution unit to execute a rescue strategy, and the rescue strategy is used for implementing a rescue behavior for the driver;

the rescue strategy comprises a first rescue sub-strategy (32), the first rescue sub-strategy (32) comprises a posture adjustment sub-strategy, and the posture adjustment sub-strategy is used for adjusting the posture of the driver seat to change the sleeping posture of the driver;

the seat is provided with a posture adjusting air bag (53), the posture adjusting air bag (53) is arranged at the joint of a backrest (52) and a seat cushion (51) of the seat, and the posture adjusting air bag (53) is filled with gas and then used for adjusting the lying posture of a driver on the seat.

2. The autopilot system of claim 1, wherein the diagnostic sub-strategy (223) includes a diagnostic screening table, a diagnostic algorithm and a diagnostic sub-strategy, wherein the diagnostic algorithm is configured to determine whether the first trigger information collected each time is within a range of physical signs in different pathological data packets and output a first diagnostic result, the diagnostic screening table is configured to record all the first diagnostic results within a first determination duration, the diagnostic sub-strategy is configured to count multiple consecutive post-position determination results in each disease determination column in the diagnostic screening table, and if the multiple determination results are all in a disease state, output the first emergency information.

3. An autopilot system according to claim 2, wherein the safety status of the driver can be monitored, characterized in that the information processing module is configured with an update policy (24), the update policy (24) comprises an update judgment sub-policy (241) and an information replacement sub-policy (242), the update judgment sub-strategy (241) judges whether to trigger update, the information replacement sub-strategy (242) is used for replacing new information into a pathological information configuration library (21), a first update interval is set in the update judgment sub-strategy (241), -when the first update interval reaches a threshold value, initiating the information replacement sub-strategy (242) requesting re-entry of first abnormal information (212) and current first normalcy information (211) of the driver, and replaces the original first abnormal information (212) and first normal information (211).

4. The automatic driving system capable of monitoring the safety state of the driver according to claim 3, characterized by comprising a manual opening and closing module (4), wherein the manual opening and closing module (4) controls when receiving an artificial control command, and sends the artificial control command to the action execution module (3).

5. The autopilot system according to claim 4, characterized in that the update decision sub-strategy (241) comprises a first decision strategy, and when the first decision strategy identifies that the action execution module (3) has received only an opening command of an artificial control command and has not received first emergency information within a first recognition period, the information replacement sub-strategy (242) is activated to request to re-enter first abnormal information (212) and current first normal state information (211) of the driver and replace the original first abnormal information (212) and first normal state information (211).

6. The autopilot system of claim 1 wherein said morbidity data package further comprises an morbidity report and a rescue call, wherein said morbidity report comprises first disease information and first aid information, and said rescue call is used to initiate a corresponding rescue strategy.

7. The automatic driving system capable of monitoring the safety state of the driver according to claim 6, wherein the rescue strategy comprises a basic rescue strategy (31), the basic rescue strategy (31) comprises a road condition planning sub-strategy and an emergency state display sub-strategy, the road condition planning sub-strategy is used for planning the nearest safe parking position and calling the automatic driving system to drive the vehicle to the safe parking position, the emergency state display sub-strategy is used for displaying the morbidity report book on a driving computer and starting a display component of rescue information outside the vehicle for helping the passing vehicle to rescue.

8. The autopilot system of claim 7 wherein the rescue strategy includes a first rescue sub-strategy (32), the first rescue sub-strategy (32) including an in-vehicle climate conditioning strategy for conditioning an ambient temperature within the vehicle, the rescue call instructing the first rescue sub-strategy (32) to be initiated.

9. The automated driving system according to claim 8, wherein the rescue strategy comprises a second rescue sub-strategy (33), and the second rescue sub-strategy (33) is configured to generate and send first-aid information to the mobile end of the first security contact.

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