CN115150440A - Intelligent networking automobile information interaction method and system and readable storage medium - Google Patents
Intelligent networking automobile information interaction method and system and readable storage medium Download PDFInfo
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- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
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Abstract
The invention discloses an intelligent networking automobile information interaction method, a system and a readable storage medium, belonging to the technical field of information interaction and comprising the following steps: acquiring body abnormity information and data of a driver to obtain a current body abnormity evaluation value of the driver; if the current body abnormality evaluation value of the driver is larger than a first preset threshold value, switching to an automatic driving mode; establishing communication connection between a vehicle and a hospital, and determining treatment information of the current hospital; the vehicle acquires the treatment information of one of the nearby hospitals and sends a request instruction to the driver; if the driver accepts the request instruction, the next step is carried out; if the driver refuses the request instruction, selecting the treatment information of other hospitals and sending the request instruction to the driver; planning a plurality of driving routes by combining the vehicle with the cloud end; and establishing communication connection between the hospital and the traffic department, and determining an optimal driving route.
Description
Technical Field
The invention relates to the technical field of information interaction, in particular to an intelligent networking automobile information interaction method, system and readable storage medium.
Background
The intelligent networked automobile is a new generation automobile which is organically combined with an intelligent automobile through the Internet of vehicles, carries advanced vehicle-mounted sensors, controllers, actuators and other devices, integrates modern communication and network technologies, realizes intelligent information exchange and sharing between the automobile and people, on roads, backgrounds and the like, realizes safe, comfortable, energy-saving and efficient driving, and can finally replace people to operate.
When a driver drives an unmanned vehicle in a manual driving mode, if the physical condition of the driver is suddenly abnormal, such as heart attack, so that the unmanned vehicle cannot be driven normally, and the unmanned vehicle is still in a driving state, traffic accidents are likely to happen, and the safety of the unmanned vehicle is reduced. In the prior art, the vehicle cannot perform information interaction with vital signs of people in the vehicle, and cannot automatically identify the physical condition of a driver, so that automatic driving cannot be started, and traffic accidents are very easy to happen. And the vehicle does not establish information interaction with the hospital, so that the hospital cannot know the vital signs of the patient, cannot prepare treatment in advance, and delays the treatment time of the patient. The vehicle does not establish information interaction with a traffic department, and the traffic department can select an optimal driving route for the vehicle, shorten the delivery time of the patient and grasp the optimal rescue time of the patient.
Therefore, how to provide a novel intelligent network automobile information interaction method to automatically identify the abnormal body condition of a driver in a vehicle, avoid traffic accidents, establish information interaction of people, vehicles, hospitals and traffic departments and timely rescue the driver is a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
Therefore, the invention provides an intelligent networking automobile information interaction method, an intelligent networking automobile information interaction system and a readable storage medium, and aims to solve the problem that in the prior art, a vehicle is not controlled due to the emergency of a driver.
In order to achieve the above purpose, the invention provides the following technical scheme:
according to a first aspect of the invention, an intelligent networking automobile information interaction method is provided, which comprises the following steps:
s1 the method comprises the following steps: acquiring body abnormal information and data of a driver, and obtaining a current body abnormal evaluation value of the driver according to the body abnormal information and data of the driver;
s2: if the current body abnormality evaluation value of the driver is larger than a first preset threshold value, the current driving capacity of the driver is insufficient, and the manual driving mode of the vehicle is switched to the automatic driving mode;
s3: the method comprises the steps that communication connection is established between the vehicle and a plurality of nearby hospitals on the basis that the vehicle is in an automatic driving mode, and the plurality of nearby hospitals acquire body abnormity information and data of a driver and determine treatment information of the current hospital; wherein the treatment information at least comprises the provided treatment time, a treating doctor for treatment and an idle treatment bed;
s4: the vehicle acquires the treatment information of one of the nearby hospitals and sends a request instruction to the driver;
s5 the method comprises the following steps: if the driver accepts the request instruction, the next step is carried out; if the driver refuses the request instruction, returning to the step S4, selecting the treatment information of other hospitals and sending a request instruction to the driver;
s6: based on the driver receiving the request instruction, the vehicle acquires the position information, the parking lot map and the parking lot vacancy information of the request hospital, and plans a plurality of driving routes by combining with the cloud;
s7: planning a plurality of driving routes based on the vehicle, establishing communication connection between the vehicle and a traffic department, acquiring the plurality of driving routes planned by the vehicle by the traffic department, studying and judging each road section node in the plurality of driving routes in real time, and selecting an optimal driving route;
s8: and the vehicle receives the optimal running route determined by the traffic department and arrives at a hospital under the guidance of traffic police at each intersection dispatched by the traffic department.
Further, the body abnormal information and data of the driver comprise abnormal motion data, abnormal facial expression data, abnormal body temperature data and abnormal driving sight data, and the real-time body abnormal information and data of the driver are acquired and substituted into a first preset algorithm to obtain the current body abnormal evaluation value of the driver.
Further, the first preset algorithm is as follows:
wherein W is the current body abnormality evaluation value of the driver,
is a preset function of the abnormal motion data, i1 is the pathological behavior grade corresponding to the current abnormal motion data of the driver,
is a preset function of the facial expression abnormal data, i2 is the pain level corresponding to the current facial expression abnormal data of the driver,
is a preset function of the abnormal body temperature data, i3 is the abnormal level corresponding to the current abnormal body temperature data of the driver,
and i4 is a preset function of the driving sight abnormality data, and the deviation degree grade of the deviated driving position corresponding to the current driving sight abnormality data of the driver is obtained.
Further, in the case that an optimal driving route is determined based on the vehicle, if the current body abnormality evaluation value of the driver is smaller than a second preset threshold value, the body of the driver is indicated to be in mild abnormality, and the vehicle starts a first driving scheme; and if the current body abnormality evaluation value of the driver is larger than a second preset threshold value, indicating that the body of the driver is in severe abnormality, and starting a second driving scheme by the vehicle.
Further, the driving modes of the vehicle are an economy mode, a comfort mode, and a sport mode.
Further, the first driving scheme is that an economic mode of the vehicle is selected when starting, a comfortable mode and a sport mode are selected to be operated in a crossed mode during driving, and the economic mode of the vehicle is selected before the vehicle arrives at a hospital.
Further, the second driving scheme is to select an economy mode of the vehicle at the time of starting, select a sport mode during driving, and select a comfort mode of the vehicle before reaching a hospital.
Further, the process of the traffic department for real-time study and judgment of each road section node in the driving route comprises the following steps:
s701: respectively acquiring traffic flow data of a plurality of driving routes in real time, wherein the traffic flow data at least comprises the traffic flow, the number of traffic lights and the time length of the traffic lights of each road section node;
s702: respectively calculating the running time of the vehicle under the unobstructed condition, calculating the time of the vehicle for traffic jam and the time of waiting for traffic lights when the vehicle passes through an intersection, and adding to obtain the running time of the vehicle under a plurality of running routes;
s703: and comparing the running time of the plurality of running routes, and screening out the optimal running route with the least time consumption.
Furthermore, the method also comprises the step of acquiring road condition information, wherein the real-time road condition of the position of the vehicle is acquired through the cloud end in the driving process of the vehicle, and the deceleration processing is carried out on the barriers, traffic accidents and traffic lights which appear in advance.
According to a second aspect of the present invention, there is provided an intelligent networked automobile information interaction system for implementing any one of the above-mentioned intelligent networked automobile information interaction methods, comprising
The information collection module is used for acquiring body abnormal information and data of the driver;
the vehicle-mounted information interaction module is used for receiving and sending the information of the driver, the hospital and the traffic department;
a processing module for processing information of the driver, the hospital and the transportation department and controlling the driving of the vehicle;
the hospital communication module is used for establishing communication connection between the vehicle and the hospital;
and the traffic department communication module is used for establishing communication connection between the vehicle and the traffic department.
According to a third aspect of the present invention, there is provided a readable storage medium, comprising a program and instructions, wherein when the program or instructions are run on a computer, the intelligent networked automobile information interaction method is implemented.
The invention has the following advantages:
according to the method, information interaction between a driver and a vehicle is established, the current body abnormity evaluation value of the driver is obtained according to the body abnormity information and data of the driver by automatically acquiring the body abnormity information and data of the driver, and the body abnormity evaluation value is compared with a first threshold value, so that manual driving is switched to automatic driving, and traffic accidents caused by uncontrolled vehicle when the driver is in an emergency are avoided; according to the invention, information interaction between the vehicle and the hospital is established, the hospital can know vital signs of patients through the vehicle, treatment preparation is made in advance, and delay of treatment time of the patients is avoided; the invention also establishes information interaction between the vehicle and the traffic department, and the traffic department can select the optimal driving route for the vehicle, thereby shortening the transportation time of the patient and leading the driver to be rescued in time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a flow chart of an intelligent networked automobile information interaction method provided by the invention;
FIG. 2 is a flow chart of real-time study and judgment of the traffic department in step S7 of the intelligent networked automobile information interaction method provided by the present invention;
fig. 3 is a connection block diagram of an intelligent networking automobile information interaction system provided by the invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. 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.
According to a first aspect of the present invention, there is provided an intelligent networked automobile information interaction method, as shown in fig. 1, including the following steps:
s1: and acquiring body abnormal information and data of the driver, and obtaining the current body abnormal evaluation value of the driver according to the body abnormal information and data of the driver. The body abnormal information and data of the driver comprise abnormal motion data, abnormal facial expression data, abnormal body temperature data and abnormal driving sight data, and the real-time body abnormal information and data of the driver are acquired and substituted into a first preset algorithm to obtain the current body abnormal evaluation value of the driver. The camera is used for collecting the action, facial expression and sight line stop area of the driver, and the infrared temperature measuring device is used for detecting the body temperature of the driver.
When the human body is abnormal, various stress actions can be involuntarily performed, for example, when the stomach is uncomfortable, the stomach is covered by hands; when the heart is uncomfortable, the heart is covered by hands. The degree of pathological behavior of the driver is defined according to the position of the body organ of the driver, the stomach may be defined as a less pathological behavior, and the heart may be defined as a more pathological behavior. Or when the driver develops a sudden illness, the whole body of the driver starts twitching, which can be defined as severe pathological behavior.
When the human body is abnormal, facial expressions on the face can be correspondingly changed, and the pain level of the driver is judged according to the ferocious situation of the face of the driver. The flatter the expression of the driver indicates the lower the pain level of the driver, the more ferocious the expression of the driver indicates the higher the pain level of the driver.
When the human body is abnormal, the sight line stopping area of the driver is changed. Under normal driving conditions, the sight line of the driver is looked around in a certain height area range, and the height area range is the eye sight line height of the driver sitting on the driving seat. And determining the deviation degree grade of the driver from the driving position according to the degree of the eye sight line of the driver deviating from the range of the height area.
The body temperature of the driver is detected through the infrared temperature measuring device, the body temperature has a normal range, and the body temperature deviates from the normal range more greatly, so that the abnormal degree of the body temperature of the driver is indicated to be more large.
The first preset algorithm is as follows:
wherein W is the current body abnormality evaluation value of the driver,
is a preset function of the abnormal motion data, i1 is corresponding to the current abnormal motion data of the driverThe grade of the pathological behavior is determined,
is a preset function of the facial expression abnormal data, i2 is the pain level corresponding to the current facial expression abnormal data of the driver,
is a preset function of the abnormal body temperature data, i3 is the abnormal grade corresponding to the current abnormal body temperature data of the driver,
and i4 is a preset function of the driving sight abnormality data, and the deviation degree grade of the deviated driving position corresponding to the current driving sight abnormality data of the driver is obtained.
S2: if the current body abnormality evaluation value of the driver is larger than a first preset threshold value, the first preset threshold value is a limit value at which the driver can continuously operate the vehicle, and the first preset threshold value is exceeded, the current driving capability of the driver is indicated to be insufficient, and the manual driving mode of the vehicle is switched into the automatic driving mode. The switching process is fully automatic, and the situation that a driver cannot reach a manual switching mode due to sudden diseases is avoided.
S3: the automatic driving mode of the vehicle is automatically switched to indicate that the personnel in the vehicle have abnormal conditions, and the vehicle automatically establishes communication connection with a plurality of hospitals nearby. A plurality of information channels are established, a plurality of choices are provided for personnel in the vehicle, and the problem that the feedback of a one-way connection hospital is not timely is avoided. A plurality of hospitals nearby acquire the body abnormality information and data of the driver and determine the treatment information of the current hospital. Wherein the treatment information at least comprises the provided treatment time, the treating doctor for treatment and the idle treatment bed. The hospital can obtain the preliminary pathological information of the patient in time and make feedback in time according to the current situation of the hospital.
S4: the vehicle acquires the treatment information of one of the nearby hospitals and sends a request instruction to the driver;
s5: the treatment hospital is selected based on the driver's will. If the driver accepts the request, the next step is taken. In addition, if the driver does not respond within 1 minute, the driver is considered to receive the request instruction, and the next step is carried out; if the driver refuses the request instruction, the step S4 is returned to, and the treatment information of other hospitals is selected and the request instruction is sent to the driver.
S6: based on the driver receiving request instruction, the vehicle obtains position information, a parking lot map and parking lot vacancy information of a request hospital, and combines a cloud terminal to plan a plurality of driving routes. According to a parking lot map and parking station vacancy of a hospital, a route map is quickly generated, so that the condition that vehicles waste time to find parking spaces is avoided, and drivers are timely rescued. And when the hospital receives the request receiving instruction of the driver, the hospital makes preparation work in advance.
S7: a plurality of driving routes are planned based on the vehicle, the vehicle is in communication connection with a traffic department, the traffic department acquires the plurality of driving routes planned by the vehicle, each road section node in the plurality of driving routes is researched and judged in real time, and the optimal driving route is selected.
As shown in fig. 2, the process of real-time studying and judging each road section node in the driving route by the transportation department includes the following steps:
s701: respectively acquiring traffic flow data of a plurality of driving routes in real time, wherein the traffic flow data at least comprises the traffic flow, the number of traffic lights and the time length of the traffic lights of each road section node;
s702: respectively calculating the running time of the vehicle under the unobstructed condition, calculating the time of the vehicle for traffic jam and the time of waiting for a traffic light when the vehicle passes through an intersection, and adding to obtain the running time of the vehicle under a plurality of running routes;
s703: and comparing the running time of the plurality of running routes, and screening out the optimal running route with the least time consumption.
S8: the vehicle receives the optimal driving route determined by the traffic department and arrives at the hospital under the guidance of traffic police at each intersection dispatched by the traffic department.
The driving modes of the vehicle are an economy mode, a comfort mode, and a sport mode. In the economy mode, the speed of the vehicle advances at a speed most suitable for human comfort; in the comfort mode, the speed of the vehicle is advanced at a speed that is less comfortable for the human body; in the sport mode, the vehicle gives consideration to both human comfort and vehicle speed, and moves forward at a faster speed.
In the case where the optimal travel route is determined based on the vehicle, if the current body abnormality evaluation value of the driver is less than the second preset threshold, it indicates that the body of the driver is mildly abnormal, and the vehicle starts the first travel plan. The first driving scheme is that the economic mode of the vehicle is selected when starting, the comfortable mode and the sport mode are selected to be operated in a crossed mode during driving, and the economic mode of the vehicle is selected before the vehicle arrives at a hospital. To ensure the comfort of the patient as priority and ensure that the vehicle steadily travels to the hospital.
Under the condition that the optimal driving route is determined based on the vehicle, if the current body abnormality evaluation value of the driver is larger than a second preset threshold value, the fact that the body of the driver is in severe abnormality is indicated, and the vehicle starts a second driving scheme. The second driving scheme is to select an economy mode of the vehicle at the time of starting, select a sport mode during driving, and select a comfort mode of the vehicle before reaching a hospital. The priority is to ensure the running speed of the vehicle, and the comfort of the patient is not lost.
Still including acquireing road conditions information, the vehicle is at the real-time road conditions of the in-process of going through high in the clouds acquisition vehicle position, makes speed reduction processing for barrier, traffic accident and the traffic signal lamp that appear in advance, avoids scram or jolt aggravation patient's misery, improves patient's comfort level.
According to a second aspect of the present invention, there is provided an intelligent networked automobile information interaction system for implementing any one of the above-mentioned intelligent networked automobile information interaction methods, as shown in fig. 3, including
The information collection module is used for acquiring body abnormity information and data of a driver;
the vehicle-mounted information interaction module is used for receiving and transmitting information of a driver, a hospital and a traffic department;
the processing module is used for processing the information of the driver, the hospital and the traffic department and controlling the running of the vehicle;
the hospital communication module is used for establishing communication connection between the vehicle and a hospital;
and the traffic department communication module is used for establishing communication connection between the vehicle and the traffic department.
According to a third aspect of the present invention, there is provided a readable storage medium, comprising a program and instructions, wherein when the program or instructions are run on a computer, the intelligent networked automobile information interaction method is implemented.
According to the method, information interaction between a driver and a vehicle is established, the current body abnormity evaluation value of the driver is obtained according to the body abnormity information and data of the driver by automatically acquiring the body abnormity information and data of the driver, and the body abnormity evaluation value is compared with a first threshold value, so that manual driving is switched to automatic driving, and traffic accidents caused by uncontrolled vehicle when the driver is in an emergency are avoided; according to the invention, information interaction between the vehicle and the hospital is established, the hospital can know vital signs of patients through the vehicle, treatment preparation is made in advance, and the delay of the treatment time of the patients is avoided; the invention also establishes information interaction between the vehicle and the traffic department, and the traffic department can select the optimal driving route for the vehicle, thereby shortening the transportation time of the patient and leading the driver to be rescued in time.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (11)
1. An intelligent networking automobile information interaction method is characterized by comprising the following steps:
s1: acquiring body abnormal information and data of a driver, and obtaining a current body abnormal evaluation value of the driver according to the body abnormal information and data of the driver;
s2: if the current body abnormality evaluation value of the driver is larger than a first preset threshold value, the current driving capacity of the driver is insufficient, and the manual driving mode of the vehicle is switched to the automatic driving mode;
s3: the method comprises the steps that communication connection is established between the vehicle and a plurality of nearby hospitals on the basis that the vehicle is in an automatic driving mode, and the plurality of nearby hospitals acquire body abnormity information and data of a driver and determine treatment information of the current hospital; wherein the treatment information at least comprises the provided treatment time, a treating doctor for treatment and an idle treatment bed;
s4: the vehicle acquires the treatment information of one of the nearby hospitals and sends a request instruction to the driver;
s5: if the driver accepts the request instruction, the next step is carried out; if the driver refuses the request instruction, returning to the step S4, selecting the treatment information of other hospitals and sending a request instruction to the driver;
s6: based on the driver receiving the request instruction, the vehicle acquires position information, a parking lot map and parking lot vacancy information of a request hospital, and plans a plurality of driving routes by combining a cloud end;
s7: planning a plurality of driving routes based on the vehicle, establishing communication connection between the vehicle and a traffic department, acquiring the plurality of driving routes planned by the vehicle by the traffic department, studying and judging each road section node in the plurality of driving routes in real time, and selecting an optimal driving route;
s8: and the vehicle receives the optimal running route determined by the traffic department and arrives at a hospital under the guidance of traffic police at each intersection dispatched by the traffic department.
2. The intelligent internet automobile information interaction method as claimed in claim 1, wherein the body abnormality information and data of the driver include abnormal motion data, abnormal facial expression data, abnormal body temperature data and abnormal driving sight data, and the current body abnormality evaluation value of the driver is obtained by obtaining the real-time body abnormality information and data of the driver and substituting the real-time body abnormality information and data into a first preset algorithm.
3. The intelligent networked automobile information interaction method as claimed in claim 2, wherein the first preset algorithm is:
wherein W is the current body abnormality evaluation value of the driver,
is a preset function of the abnormal motion data, i1 is the pathological behavior grade corresponding to the current abnormal motion data of the driver,
is a preset function of the facial expression abnormal data, i2 is the pain level corresponding to the current facial expression abnormal data of the driver,
is a preset function of the abnormal body temperature data, i3 is the abnormal level corresponding to the current abnormal body temperature data of the driver,
and i4 is a preset function of the driving sight abnormality data, and the deviation degree grade of the deviated driving position corresponding to the current driving sight abnormality data of the driver is obtained.
4. The intelligent networked automobile information interaction method as claimed in claim 1, further comprising the step of, in the case of determining an optimal driving route based on the vehicle, if the current body abnormality evaluation value of the driver is less than a second preset threshold value, indicating that the body of the driver is in mild abnormality, starting a first driving scheme by the vehicle; and if the current body abnormality evaluation value of the driver is larger than a second preset threshold value, indicating that the body of the driver is in severe abnormality, and starting a second driving scheme by the vehicle.
5. The intelligent networked automobile information interaction method as claimed in claim 4, wherein the driving mode of the vehicle is an economy mode, a comfort mode and a sport mode.
6. The intelligent networked automobile information interaction method as claimed in claim 5, wherein the first driving scheme is that an economic mode of the vehicle is selected at the time of starting, a comfortable mode and a sport mode are selected to be operated in a crossed mode during driving, and the economic mode of the vehicle is selected before the vehicle arrives at a hospital.
7. The intelligent networked automobile information interaction method as claimed in claim 5, wherein the second driving scheme is to select an economy mode of the vehicle at the time of starting, select a sport mode during driving, and select a comfort mode of the vehicle before arriving at a hospital.
8. The intelligent networked automobile information interaction method as claimed in claim 1, wherein the process of the transportation department for real-time study and judgment of each road section node in the driving route comprises the following steps:
s701: respectively acquiring traffic flow data of a plurality of driving routes in real time, wherein the traffic flow data at least comprises the traffic flow, the number of traffic lights and the time length of the traffic lights of each road section node;
s702: respectively calculating the running time of the vehicle under the unobstructed condition, calculating the time of the vehicle for traffic jam and the time of waiting for traffic lights when the vehicle passes through an intersection, and adding to obtain the running time of the vehicle under a plurality of running routes;
s703: and comparing the running time of the plurality of running routes, and screening out the optimal running route with the least time consumption.
9. The method as claimed in claim 1, further comprising obtaining road condition information, wherein the vehicle obtains real-time road conditions of a location of the vehicle through a cloud during driving, and performs deceleration processing for obstacles, traffic accidents and traffic lights in advance.
10. An intelligent networked automobile information interaction system for implementing the intelligent networked automobile information interaction method according to any one of claims 1 to 9, which is characterized by comprising
The information collection module is used for acquiring body abnormity information and data of the driver;
the vehicle-mounted information interaction module is used for receiving and sending the information of the driver, the hospital and the traffic department;
a processing module for processing information of the driver, the hospital and the transportation department and controlling the driving of the vehicle;
the hospital communication module is used for establishing communication connection between the vehicle and the hospital;
and the traffic department communication module is used for establishing communication connection between the vehicle and the traffic department.
11. A readable storage medium, characterized by comprising a program and instructions, wherein when the program or instructions are run on a computer, the intelligent networked automobile information interaction method according to any one of claims 1 to 9 is implemented.
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