CN115402334A - Auxiliary rescue method and system based on driver physiological monitoring - Google Patents
Auxiliary rescue method and system based on driver physiological monitoring Download PDFInfo
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Abstract
The invention relates to an auxiliary rescue method and an auxiliary rescue system based on driver physiological monitoring, wherein the method comprises the following steps: acquiring real-time health monitoring information of a driver in a vehicle driving process; performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result; when the diagnosis result reaches a first-level mild condition state, turning on a lane change indicator lamp and controlling the vehicle to stop at the roadside; when the diagnosis result reaches a second-level severe state, starting a navigation map and searching an emergency center closest to the current position of the vehicle; and planning the fastest emergency route according to the position of the emergency center so as to control the vehicle to automatically drive according to the emergency route. By combining the daily health monitoring information and the real-time health monitoring information of the driver, the driver can timely judge and timely take corresponding auxiliary rescue measures when sudden pathological conditions occur, and the missing of the optimal medical time is avoided.
Description
Technical Field
The invention relates to the technical field of vehicle safety, in particular to an auxiliary rescue method and an auxiliary rescue system based on driver physiological monitoring.
Background
With the current state of the art and the push of regulations at home and abroad, more and more vehicles are being equipped with ADAS (advanced driver assistance system) to help drivers to drive more safely, regularly and comfortably. The mainstream configurations are mainly AEB (automatic emergency braking), ACC (adaptive cruise), LCA (lane change assist), and the like.
A DMS (driver fatigue monitoring system) is already in the driver monitoring field, and the DMS functions to capture facial features of a driver, such as the size of opening and closing eyes, blink frequency, and eyeball offset, by a camera and perform behavioural determination by machine learning, thereby determining whether the driver is in a distracted, dozing, or fatigue driving state. And then, a warning popup window is popped up by combining the car machine interface to carry out image reminding or acoustic reminding by sending sharp noise through a loudspeaker.
The existing DMS system only monitors fatigue driving, does not further expand the physiological condition of a monitoring user or a driver, and cannot judge the sudden pathological condition of the user or the driver; the DMS system only gives an alarm and reminds, and when a driver has sudden acute diseases, such as myocardial infarction, cerebral infarction or acute fever, corresponding measures and solutions are not provided.
Therefore, there is a need to provide an auxiliary rescue method capable of determining whether a current driver is in a pathological state by monitoring daily physiological conditions of the driver or user in combination with machine learning and taking corresponding first aid measures according to different levels of pathological states to solve the above technical problems.
Disclosure of Invention
In order to solve the technical problem, the invention provides an auxiliary rescue method based on driver physiological monitoring. The technical problems that in the prior art, a DMS system only monitors fatigue driving, physiological conditions of monitoring users or drivers are not further expanded, and sudden pathological conditions of the users or the drivers cannot be judged are solved.
The technical effects of the invention are realized as follows:
an auxiliary rescue method based on driver physiological monitoring comprises the following steps:
acquiring real-time health monitoring information of a driver in a vehicle driving process;
performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result;
when the diagnosis result reaches a first-level mild condition state, turning on a lane change indicator lamp and controlling the vehicle to stop at the roadside;
when the diagnosis result reaches a second-level severe state, starting a navigation map and searching an emergency center closest to the current position of the vehicle;
and planning the fastest emergency route according to the position of the emergency center so as to control the vehicle to automatically drive according to the emergency route. By combining the daily health monitoring information and the real-time health monitoring information of the driver, the driver can be diagnosed in time when sudden pathological conditions occur, the degree of the pathological state of the driver can be judged according to the diagnosis result, corresponding auxiliary rescue measures are taken to complete auxiliary rescue, and the missing of the optimal medical time for the driver to rescue is avoided.
Further, the pathological diagnosis is performed according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result, and the method comprises the following steps:
acquiring daily sign information and cloud pathological diagnosis and treatment information of a driver within preset acquisition time;
and obtaining daily health monitoring information according to the daily sign information and the cloud pathological diagnosis and treatment information by utilizing a machine learning module.
Further, the pathological diagnosis is carried out according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result, and the diagnosis result comprises the following steps:
acquiring daily health monitoring information to obtain a corresponding parameter judgment reference;
and obtaining a diagnosis result according to the parameter judgment reference and the real-time health monitoring information.
Further, when the diagnosis result reaches a first grade mild condition, the following steps are included:
sending out a side parking prompt to wait for confirmation of a driver;
and when the driver confirms or the confirmation information of the driver is not detected within the first preset time, turning on the lane change indicating lamp and controlling the vehicle to stop to the roadside.
Further, when turning on the lane change indicator light and controlling the vehicle to stop to the roadside, the method further comprises the following steps:
automatically dialing a telephone of an emergency center;
and synchronously sending the current parking position of the vehicle, the parameter judgment reference, the real-time health monitoring information and the diagnosis result to an emergency center so that the emergency center can diagnose the pathological state of the driver in advance.
Further, turning on the lane change indicator while controlling the vehicle to stop to the roadside, further includes:
automatically contacting emergency contacts to inform a driver of the real-time health monitoring information and/or diagnostic results. When the driver is judged to be in the first-level mild condition state according to the diagnosis result, the vehicle can be automatically controlled to stop, the emergency center is automatically called, meanwhile, the vehicle stopping position, the parameter judgment reference, the real-time health monitoring information and the diagnosis result are sent to the emergency center, and the emergency contact person is automatically contacted, so that the driver can be helped to see a doctor emergently in a sudden pathological state.
Further, the parameter judgment reference comprises a body temperature judgment reference, and when the lane change indicator lamp is turned on and the vehicle is controlled to park to the roadside, the method further comprises the following steps:
obtaining real-time temperature information according to the real-time health monitoring information;
and when the real-time temperature information does not accord with the body temperature judgment reference, adjusting the air conditioner temperature of the vehicle according to the real-time temperature information so as to adjust the body temperature of the driver.
Further, when the diagnosis result reaches a second-stage severe state, the following steps are included:
sending an automatic driving prompt to wait for confirmation of a driver;
and when the driver confirms or no confirmation information of the driver is detected within a second preset time, starting a navigation map and searching for an emergency center closest to the current position of the vehicle.
Further, starting a navigation map and searching for an emergency center closest to the current position of the vehicle, and then:
automatically dialing a telephone of a traffic police command center;
and synchronously sending the emergency route and the real-time position of the vehicle to the traffic police command center so that a traffic police of the traffic command center carries out traffic control according to the emergency route and the real-time position. When the driver is judged to be in the second-level severe state according to the diagnosis result, the position of the emergency center closest to the current position of the vehicle is automatically acquired, the emergency route is planned, the vehicle is controlled to automatically drive according to the emergency route, the emergency route and the real-time position of the vehicle are synchronously sent to the traffic police command center to match the advancing process of the vehicle, so that the emergency medical service of the driver is completed, and the optimal medical time of the driver is ensured.
In addition, still provide an auxiliary rescue system based on driver physiological monitoring, include:
the monitoring information acquisition module: the system is used for acquiring real-time health monitoring information of a driver in the process of driving a vehicle;
a diagnostic result obtaining module: the system is used for performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result;
a vehicle parking control module: the lane change indicator lamp is turned on and the vehicle is controlled to park to the roadside when the diagnosis result reaches a first-level mild condition state;
the first-aid center searching module: the emergency treatment system is used for starting a navigation map and searching an emergency treatment center closest to the current position of the vehicle when the diagnosis result reaches a secondary severe state;
an automatic driving planning module: for planning the fastest emergency route according to the location of the emergency center to control the vehicle to automatically drive according to the emergency route.
As described above, the present invention has the following advantageous effects:
1) By combining the daily health monitoring information and the real-time health monitoring information of the driver, the driver can be diagnosed in time when sudden pathological conditions occur, the degree of the pathological state of the driver can be judged according to the diagnosis result, corresponding auxiliary rescue measures are taken to complete auxiliary rescue, and the missing of the optimal medical time for the driver to rescue is avoided.
2) When the driver is judged to be in the first-level mild condition state according to the diagnosis result, the vehicle can be automatically controlled to stop, the emergency center is automatically called, meanwhile, the vehicle stopping position, the parameter judgment reference, the real-time health monitoring information and the diagnosis result are sent to the emergency center, and the emergency contact person is automatically contacted, so that the driver can be helped to see a doctor emergently in a sudden pathological state.
3) When the driver is judged to be in the second-level severe state according to the diagnosis result, the position of the emergency center closest to the current position of the vehicle is automatically acquired, the emergency route is planned, the vehicle is controlled to automatically drive according to the emergency route, the emergency route and the real-time position of the vehicle are synchronously sent to the traffic police command center to match the advancing process of the vehicle, so that the emergency medical service of the driver is completed, and the optimal medical time of the driver is ensured.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the embodiment or the description of the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art it is also possible to derive other drawings from these drawings without inventive effort.
Fig. 1 is a flowchart of an auxiliary rescue method based on driver physiological monitoring provided in an embodiment of the present disclosure;
fig. 2 is a block diagram of an auxiliary rescue system based on driver physiological monitoring provided in an embodiment of the present disclosure.
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 obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1:
as shown in fig. 1, an embodiment of the present specification provides an auxiliary rescue method based on driver physiological monitoring, including:
s100: acquiring real-time health monitoring information of a driver in a vehicle driving process;
s200: performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result; the real-time health monitoring information refers to real-time physical sign information acquired by a driver in real time.
In a specific embodiment, the step S200 of performing a pathological diagnosis based on the daily health monitoring information and the real-time health monitoring information to obtain a diagnosis result includes:
acquiring daily sign information and cloud pathological diagnosis and treatment information of a driver within preset acquisition time;
and obtaining daily health monitoring information according to the daily sign information and the cloud pathological diagnosis and treatment information by utilizing a machine learning module. Wherein the preset acquisition time is set by the technicians in the field.
In the embodiment, an auxiliary rescue system based on driver physiological monitoring is provided, the auxiliary rescue system comprises a machine learning module, the machine learning module is used for being in communication connection with a monitoring sampling device, the machine learning module is used for receiving daily sign information sent by the monitoring sampling device, combining acquired cloud pathological diagnosis and treatment information, and performing machine learning on the daily sign information and the cloud pathological diagnosis and treatment information to obtain daily health monitoring information of a driver. The machine learning mode of the machine learning module is the prior art, and is not repeated in the application.
The physical sign information in the daily physical sign information and the real-time physical sign information comprises parameters such as heartbeat, respiratory rate, blood oxygen concentration, blood pressure, blood fat content, body temperature and eye opening and closing size. The cloud pathological diagnosis and treatment information is sign information stored in the cloud when a driver goes to a doctor and a corresponding diagnosis result. The machine learning module obtains daily sign information from the monitoring sampling equipment and obtains cloud pathological diagnosis and treatment information from the cloud respectively, and then machine learning is carried out on the daily sign information and the cloud pathological diagnosis and treatment information to obtain the range of each parameter corresponding to the daily sign information when a driver is in a healthy state and the range of each parameter corresponding to the daily sign information when the driver is in a pathological state, so that the daily health monitoring information is obtained.
Specifically, the monitoring and sampling device may be a safety belt heartbeat detection device, and the safety belt heartbeat detection device includes a safety belt heartbeat frequency measurement device and a breathing frequency measurement device, and the heartbeat and the breathing frequency of the driver are measured by fixing the safety belt heartbeat frequency measurement device and the breathing frequency measurement device on a safety belt shoulder strap and a safety belt waist strap respectively and then combining a low-pass filter circuit, a charge amplification circuit and a signal conversion circuit in the safety belt heartbeat detection device.
The monitoring sampling device may also be an FMCW radar (frequency modulated continuous wave radar) that monitors the breathing frequency and heartbeat of the driver by detecting a phase change of the FMCW signal in a specific range caused by a minute vibration of the target.
Monitoring sampling equipment also can be intelligent wearing formula equipment such as bracelet, and intelligent wearing formula equipment can measure parameters such as blood oxygen concentration, blood pressure and blood lipid content.
Monitoring sampling equipment also can be infrared camera, and infrared camera passes through infrared ray measurement driver's body temperature, simultaneously, combines image recognition, can also acquire the face characteristic of driver's eyes size that opens and shuts.
In a specific embodiment, the step S200 of performing a pathological diagnosis based on the daily health monitoring information and the real-time health monitoring information to obtain a diagnosis result includes:
acquiring daily health monitoring information to obtain a corresponding parameter judgment reference;
the parameter judgment reference comprises a heartbeat judgment reference, a respiratory frequency judgment reference, a blood oxygen concentration judgment reference, a blood pressure judgment reference, a blood fat content judgment reference, a body temperature judgment reference, an eye opening and closing size judgment reference and the like.
And obtaining a diagnosis result according to the parameter judgment reference and the real-time health monitoring information.
Specifically, the parameter judgment reference comprises the range of each parameter corresponding to the daily physical sign information in the healthy state and the range of each parameter corresponding to the daily physical sign information in the pathological state, and when the size of the parameter corresponding to the real-time health monitoring information falls within the range of the corresponding parameter in the healthy state, the driver is diagnosed to be in the healthy state currently; and when the size of the parameter corresponding to the real-time health monitoring information is within the range of the corresponding parameter in the pathological state, diagnosing that the driver is currently in the pathological state.
Further, the machine learning module performs machine learning through physical sign information stored in the cloud when the driver visits a doctor and a corresponding diagnosis result, and divides pathological states into a first-level mild condition state and a second-level severe condition state based on the diagnosis result so as to respectively obtain the ranges of parameters corresponding to the physical sign information. When the size of the parameter corresponding to the real-time health monitoring information is within the range of the parameter corresponding to the first-level mild condition state, the driver is diagnosed to be in the first-level mild condition state currently; and when the size of the parameter corresponding to the real-time health monitoring information is within the range of the parameter corresponding to the second-level severe state, diagnosing that the driver is currently in the second-level severe state.
By combining the daily health monitoring information and the real-time health monitoring information of the driver, the driver can be diagnosed in time when sudden pathological conditions occur, the degree of the pathological state of the driver can be judged according to the diagnosis result, corresponding auxiliary rescue measures are taken to complete auxiliary rescue, and the missing of the optimal medical time for the driver to rescue is avoided.
S300: when the diagnosis result reaches a first-level mild condition state, turning on a lane change indicator lamp and controlling the vehicle to stop at the roadside;
in a specific embodiment, when the diagnosis reaches a first grade mild condition, the method comprises the following steps:
sending out a side parking prompt to wait for confirmation of a driver;
and when the driver confirms or the confirmation information of the driver is not detected within the first preset time, turning on the lane change indicating lamp and controlling the vehicle to stop to the roadside. The first preset time can be set by a person skilled in the art, and in this embodiment, the first preset time is 10s.
In a specific embodiment, turning on the lane change indicator while controlling the vehicle to stop at the roadside further comprises:
automatically dialing a telephone of an emergency center;
and synchronously sending the current parking position of the vehicle, the parameter judgment reference, the real-time health monitoring information and the diagnosis result to an emergency center. The parameter judgment reference, the real-time health monitoring information and the diagnosis result obtained by machine learning are synchronously sent to the emergency center, so that the medical staff is assisted to analyze and diagnose.
In a specific embodiment, turning on the lane change indicator while controlling the vehicle to stop at the roadside further comprises:
automatically contacting emergency contacts to inform a driver of the real-time health monitoring information and/or diagnostic results.
In a specific embodiment, turning on the lane change indicator while controlling the vehicle to stop at the roadside further comprises:
obtaining real-time temperature information according to the real-time health monitoring information;
and when the real-time temperature information does not accord with the body temperature judgment reference, adjusting the air conditioner temperature of the vehicle according to the real-time temperature information so as to adjust the body temperature of the driver.
S400: when the diagnosis result reaches a second-level severe state, starting a navigation map and searching an emergency center closest to the current position of the vehicle;
s500: and planning the fastest emergency route according to the position of the emergency center so as to control the vehicle to automatically drive according to the emergency route.
In a specific embodiment, when the diagnosis reaches a second stage critical state, the method comprises the following steps:
sending an automatic driving prompt to wait for confirmation of a driver;
and when the driver confirms or no confirmation information of the driver is detected within a second preset time, starting a navigation map and searching for an emergency center closest to the current position of the vehicle. The second preset time can be set by a person skilled in the art, and in this embodiment, the second preset time is 10s.
In one specific embodiment, the method for starting the navigation map and searching the emergency center closest to the current position of the vehicle comprises the following steps:
automatically dialing a telephone of a traffic police command center;
and synchronously sending the emergency route and the real-time position of the vehicle to the traffic police command center so that a traffic police of the traffic command center carries out traffic control according to the emergency route and the real-time position.
It should be noted that when it is determined that the driver is in the second-stage critical state, the position of the first-aid center closest to the current position of the vehicle is automatically obtained and a first-aid route is planned to control the vehicle to automatically drive according to the first-aid route, so that the driver is sent to the doctor in an emergency, and the delay of rescue time when waiting for rescue is avoided; the emergency route and the real-time position of the vehicle are synchronously sent to a traffic police command center to match the advancing process of the vehicle, so that the emergency medical delivery of the driver is completed, and the optimal medical time of the driver is ensured.
Specifically, while the driver is notified of the automatic driving confirmation, the corresponding auxiliary rescue measures when it is determined that the driver is in the first-level mild state may also be taken in synchronization.
As illustrated in fig. 2, the present specification provides an assisted rescue system based on driver physiological monitoring, comprising:
the monitoring information obtaining module 601: the system is used for acquiring real-time health monitoring information of a driver in the process of driving a vehicle;
diagnostic result obtaining module 602: the system is used for performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result;
the vehicle parking control module 603: the lane change indicator lamp is turned on and the vehicle is controlled to park to the roadside when the diagnosis result reaches a first-level mild condition state;
the emergency center search module 604: the emergency treatment system is used for starting a navigation map and searching an emergency treatment center closest to the current position of the vehicle when the diagnosis result reaches a secondary severe state;
the autopilot planning module 605: for planning the fastest emergency route according to the location of the emergency center to control the vehicle to automatically drive according to the emergency route.
Although the present invention has been described in connection with the preferred embodiments, it is not intended to be limited to the embodiments described herein, and various changes and modifications may be made without departing from the scope of the invention.
The embodiments and features of the embodiments described herein above can be combined with each other without conflict.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. An auxiliary rescue method based on driver physiological monitoring is characterized by comprising the following steps:
acquiring real-time health monitoring information of a driver in a vehicle driving process;
performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result;
when the diagnosis result reaches a first-level mild condition state, turning on a lane change indicator lamp and controlling the vehicle to stop at the roadside;
when the diagnosis result reaches a second-level severe state, starting a navigation map and searching an emergency center closest to the current position of the vehicle;
and planning the fastest emergency route according to the position of the emergency center so as to control the vehicle to automatically drive according to the emergency route.
2. The auxiliary rescue method based on driver physiological monitoring as claimed in claim 1, characterized in that, the pathological diagnosis is performed according to the real-time health monitoring information based on daily health monitoring information to obtain the diagnosis result, and the method comprises the following steps:
acquiring daily sign information and cloud pathological diagnosis and treatment information of a driver within preset acquisition time;
and obtaining daily health monitoring information according to the daily sign information and the cloud pathological diagnosis and treatment information by utilizing a machine learning module.
3. The auxiliary rescue method based on driver physiological monitoring as claimed in claim 2, characterized in that, the pathological diagnosis based on daily health monitoring information and the real-time health monitoring information is performed to obtain the diagnosis result, which comprises:
acquiring daily health monitoring information to obtain a corresponding parameter judgment reference;
and obtaining a diagnosis result according to the parameter judgment reference and the real-time health monitoring information.
4. Auxiliary rescue method based on driver physiological monitoring according to claim 3, characterized in that when the diagnosis result reaches a first grade mild state, it then comprises:
sending out a side parking prompt to wait for confirmation of a driver;
and when the driver confirms or the confirmation information of the driver is not detected within the first preset time, turning on a lane change indicating lamp and controlling the vehicle to stop to the roadside.
5. The auxiliary rescue method based on driver physiological monitoring according to claim 4, characterized in that, turning on a lane-change indicator while controlling the vehicle to stop to the roadside, further comprises:
automatically dialing a telephone of the emergency center;
and synchronously sending the current parking position of the vehicle, the parameter judgment reference, the real-time health monitoring information and the diagnosis result to an emergency center.
6. The auxiliary rescue method based on driver physiological monitoring as claimed in claim 4, wherein turning on the lane-change indicator light while controlling the vehicle to stop to the roadside further comprises:
automatically contacting emergency contacts to inform a driver of the real-time health monitoring information and/or diagnostic results.
7. The auxiliary rescue method based on driver physiological monitoring according to claim 4, wherein the parameter judgment criterion comprises a body temperature judgment criterion, and the method further comprises the following steps of turning on a lane change indicator lamp while controlling the vehicle to stop at the roadside:
obtaining real-time temperature information according to the real-time health monitoring information;
and when the real-time temperature information does not accord with the body temperature judgment reference, adjusting the air conditioner temperature of the vehicle according to the real-time temperature information so as to adjust the body temperature of the driver.
8. Auxiliary rescue method based on driver physiological monitoring according to claim 4, characterized in that when the diagnosis result reaches a second-stage severe state, it then comprises:
sending an automatic driving prompt to wait for confirmation of a driver;
and when the driver confirms or no confirmation information of the driver is detected within a second preset time, starting a navigation map and searching for an emergency center closest to the current position of the vehicle.
9. The assisted rescue method based on driver physiological monitoring according to claim 8, characterized in that a navigation map is started and an emergency center closest to the current position of the vehicle is searched, and then the method comprises the following steps:
automatically dialing a telephone of a traffic police command center;
and synchronously sending the emergency route and the real-time position of the vehicle to the traffic police command center so that a traffic police of the traffic command center carries out traffic control according to the emergency route and the real-time position.
10. An assisted rescue system based on driver physiological monitoring, comprising:
a monitoring information acquisition module: the system is used for acquiring real-time health monitoring information of a driver in the process of driving a vehicle;
a diagnostic result obtaining module: the system is used for performing pathological diagnosis according to the real-time health monitoring information based on the daily health monitoring information to obtain a diagnosis result;
a vehicle parking control module: the lane change indicator light is turned on and the vehicle is controlled to stop to the roadside when the diagnosis result reaches a first-level mild condition state;
the first aid center searching module: the emergency treatment system is used for starting a navigation map and searching an emergency treatment center closest to the current position of the vehicle when the diagnosis result reaches a secondary severe state;
an automatic driving planning module: for planning the fastest emergency route according to the location of the emergency center to control the vehicle to automatically drive according to the emergency route.
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