CN113538912A

CN113538912A - Communication control method and related device

Info

Publication number: CN113538912A
Application number: CN202110804907.3A
Authority: CN
Inventors: 杨鹏; 叶炜杰; 吴义魁
Original assignee: Jinmao Smart Technology Guangzhou Co ltd
Current assignee: Jinmao Smart Technology Guangzhou Co ltd
Priority date: 2021-07-16
Filing date: 2021-07-16
Publication date: 2021-10-22

Abstract

The application specifically provides a communication control method and a related device, wherein the method comprises the following steps: the terminal device obtains driving data of each of a plurality of drivers and traveling data of each of a plurality of vehicles in a traveling state; judging whether the plurality of vehicles are at preset positions or not; if the vehicles are at the preset positions, the terminal equipment sends driving early warning requests carrying a plurality of driving data and a plurality of driving data to a cloud computing server; the cloud computing server determines a plurality of current driving early warning results according to the plurality of driving data and the plurality of driving data; the cloud computing server sends a plurality of current driving early warning results to the terminal equipment; and if the current driving early warning result A meets the preset driving early warning condition, the terminal equipment executes the preset driving early warning operation, and the current driving early warning result A is any one of the current driving early warning results. By adopting the embodiment of the application, the efficiency and the accuracy of driving early warning are improved.

Description

Communication control method and related device

Technical Field

The application relates to the technical field of intelligent driving, in particular to a communication control method and a related device.

Background

With the rapid development of society, vehicles have become indispensable vehicles in people's daily life. In the case where the vehicle is in a driving state, a driving warning is necessary in order to protect the safety of the driver and/or other passengers co-located with the driver and the vehicle. At present, if a driver does not realize dangerous driving behaviors, sudden physical situations, potential safety hazards of vehicles and the like, the terminal cannot take corresponding measures, for example, the terminal cannot interact with a cloud computing server and the like, so that traffic early warning cannot be performed, and serious traffic accidents are easily caused.

Disclosure of Invention

The embodiment of the application provides a communication control method and a related device, which are used for interacting with a cloud computing server to obtain early warning information and improve the driving early warning efficiency and accuracy.

In a first aspect, an embodiment of the present application provides a communication control method, which is applied to a terminal device, and the method includes:

obtaining driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, the plurality of vehicles corresponding to the plurality of drivers one to one;

judging whether the plurality of vehicles are at preset positions or not;

if the vehicles are at the preset positions, sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server, wherein the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results;

receiving a plurality of current driving early warning results fed back by a cloud computing server, wherein the current driving early warning results correspond to a plurality of vehicles one by one;

and if the current driving early warning result A meets the preset driving early warning condition, executing a driving early warning setting operation, wherein the current driving early warning result A is any one of a plurality of current driving early warning results.

In a second aspect, an embodiment of the present application provides a communication control method, which is applied to a cloud computing server, and the method includes:

receiving a driving early warning request which is sent by a terminal device and carries driving data of each driver in a plurality of drivers and driving data of each vehicle in a plurality of vehicles in a driving state, wherein the driving early warning request is used for indicating a cloud computing server to feed back a plurality of driving early warning results, and the plurality of vehicles correspond to the plurality of drivers one to one;

determining a plurality of current driving early warning results according to the plurality of driving data and the plurality of driving data, wherein the plurality of current driving early warning results correspond to the plurality of vehicles one to one;

and sending a plurality of current driving early warning results to the terminal equipment.

In a third aspect, an embodiment of the present application provides a communication control apparatus, which is applied to a terminal device, and the apparatus includes:

a first obtaining module for obtaining driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, the plurality of vehicles corresponding to the plurality of drivers one to one;

the judging module is used for judging whether the vehicles are in preset positions or not;

the first sending module is used for sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to the cloud computing server if the plurality of vehicles are at preset positions, and the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results;

the first receiving module is used for receiving a plurality of current driving early warning results fed back by the cloud computing server, and the current driving early warning results correspond to the vehicles one by one;

and the execution module is used for executing the operation of setting the driving early warning if the current driving early warning result A meets the preset driving early warning condition, wherein the current driving early warning result A is any one of a plurality of current driving early warning results.

In a fourth aspect, an embodiment of the present application provides a communication control apparatus, which is applied to a cloud computing server, and the apparatus includes:

the second receiving module is used for receiving a driving early warning request which is sent by the terminal equipment and carries driving data of each driver in the plurality of drivers and driving data of each vehicle in the plurality of vehicles in a driving state, the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results, and the plurality of vehicles correspond to the plurality of drivers one by one;

the determining module is used for determining a plurality of current driving early warning results according to the plurality of driving data and the plurality of driving data, and the plurality of current driving early warning results correspond to the plurality of vehicles one by one;

and the second sending module is used for sending a plurality of current driving early warning results to the terminal equipment.

In a fifth aspect, an embodiment of the present application provides a terminal device, where the terminal device includes a memory, a processor, and a communication control program stored in the memory and executable on the processor, and the processor executes the communication control program to implement the steps in the communication control method according to the first aspect of the embodiment of the present application.

In a sixth aspect, an embodiment of the present application provides a cloud computing server, where the cloud computing server includes a memory, a processor, and a communication control program stored in the memory and executable on the processor, and the processor executes the communication control program to implement the steps in the communication control method according to the second aspect of the embodiment of the present application.

In a seventh aspect, an embodiment of the present application provides a computer-readable storage medium, on which a communication control program is stored, where the communication control program is executed by a processor to implement the steps in the communication control method according to the first aspect of the embodiment of the present application.

In an eighth aspect, the present application provides a computer-readable storage medium, on which a communication control program is stored, where the communication control program is executed by a processor to implement the steps in the communication control method according to the second aspect of the present application.

Compared with the manual driving early warning, the driving early warning is low in efficiency and accuracy, in the embodiment of the application, when a plurality of vehicles are located at preset positions, the terminal sends a plurality of driving data and driving early warning requests of the plurality of driving data to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of driving data and the plurality of driving data to the terminal device, and if any current driving early warning result meets preset driving early warning conditions, the terminal device executes corresponding set driving early warning operation, so that large-scale driving early warning is achieved, and the efficiency and accuracy of the driving early warning are greatly improved.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.

Fig. 1 is a schematic architecture diagram of a communication control system according to an embodiment of the present application;

fig. 2 is a flowchart illustrating a communication control method according to an embodiment of the present application;

fig. 3A is a schematic flowchart of another communication control method provided in the embodiment of the present application;

fig. 3B is a schematic flowchart of another communication control method provided in the embodiment of the present application;

fig. 4A is a schematic flowchart of another communication control method provided in the embodiment of the present application;

fig. 4B is a schematic flowchart of another communication control method provided in the embodiment of the present application;

fig. 5 is a block diagram of functional modules of a communication control apparatus according to an embodiment of the present disclosure;

fig. 6 is a block diagram of functional modules of another communication control apparatus according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a cloud computing server according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.

The following are detailed below.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The following describes embodiments of the present application in detail.

Referring to fig. 1, fig. 1 is a schematic architecture diagram of a communication control system 100 provided in an embodiment of the present application, where the communication control system 100 includes a terminal device 110 and a cloud computing server 120, and the terminal device 110 establishes a bidirectional communication connection with the cloud computing server 120, where:

the terminal device 110 has the following functions:

1. obtaining driving data of a driver;

2. obtaining driving data of a vehicle in a driving state;

3. sending a driving early warning request carrying driving data and driving data to a cloud computing server;

4. receiving a current driving early warning result fed back by a cloud computing server;

5. and executing the operation of setting the driving early warning under the condition that the current driving early warning result meets the preset driving early warning condition.

The cloud computing server 120 has the following functions:

1. receiving a driving early warning request carrying driving data and driving data;

2. determining a current driving early warning result according to the driving data and the driving data;

3. and sending the current driving early warning result to the terminal equipment.

Referring to fig. 2, fig. 2 is a schematic flow chart of a communication control method according to an embodiment of the present application, where the communication control method includes steps S201 to S205, which are specifically as follows:

s201, the terminal device obtains driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, wherein the plurality of vehicles correspond to the plurality of drivers one by one.

Among them, the terminal device is a device that inputs a program and data to a computer or receives a processing result output by the computer via a communication facility. The terminal equipment is usually set in a convenient place where it can be connected with remote computer by means of communication equipment, and is mainly formed from communication interface control device and special-purpose or selected input and output device. The terminal device has a function of collecting driving data and traveling data collectively.

The terminal device can periodically obtain a plurality of driving data and a plurality of driving data, and can also obtain a plurality of driving data and a plurality of driving data in real time.

In some possible embodiments, the terminal device obtaining driving data of each of the plurality of drivers and traveling data of each of the plurality of vehicles in a traveling state includes:

the method comprises the steps that the terminal equipment obtains action data of each driver in a plurality of drivers;

the terminal device obtains a travel speed and a travel locus of each of a plurality of vehicles in a travel state.

S202, judging whether the vehicles are in preset positions or not.

Here, the preset position may be understood as a specific position where the vehicle travels on a road, for example, a vehicle traveling on an expressway, and the preset position may be a position away from a service area in the expressway by a preset distance, for example, 100 km or the like. The preset position may also be a position on the road that is a preset distance from the zebra crossing, which may be a position of 2-5 meters. Other positions are also possible, and are not specifically limited herein.

And S203, if the vehicles are at the preset positions, the terminal equipment sends driving early warning requests carrying a plurality of driving data and a plurality of driving data to the cloud computing server, and the driving early warning requests are used for indicating the cloud computing server to feed back a plurality of driving early warning results.

Cloud computing is considered to be a third IT wave that follows personal PCs and the internet, which will change the way people acquire, process and store information. Cloud computing uses the transmission capability of the high-speed internet, transfers the processing process of data from a personal computer or a server to a large-scale cloud computing center, and provides a user with computing power and storage capability in a service manner, and the user can use the computing power as well as using utilities such as electric power and tap water and perform computation according to the usage amount. One suitable cloud computing server feature definition is: namely high density, low energy consumption, easy management and system optimization.

S204, the cloud computing server receives a driving early warning request which is sent by the terminal device and carries driving data of each driver in the multiple drivers and driving data of each vehicle in the multiple vehicles in a driving state, multiple current driving early warning results are determined according to the multiple driving data and the multiple driving data, and the multiple current driving early warning results correspond to the multiple vehicles one to one.

In some possible embodiments, the cloud computing server determines a plurality of current driving warning results according to the plurality of driving data and the plurality of driving data, including:

the cloud computing server determines the driving state of a driver B' according to driving data B, wherein the driving data B is any one of a plurality of driving data;

the cloud computing server determines the driving state of a vehicle C 'corresponding to a driver B' according to driving data C, wherein the driving data C is any one of a plurality of driving data;

if the driving state of the driver B ' is abnormal and/or the driving state of the vehicle C ' is abnormal, the cloud computing server determines that the current driving early warning result corresponding to the vehicle C ' meets the preset driving early warning condition; alternatively, the first and second electrodes may be,

if the driving state of the driver B ' is normal and the driving state of the vehicle C ' is normal, the cloud computing server determines that the current driving early warning result corresponding to the vehicle C ' does not meet the preset driving early warning condition.

Specifically, the cloud computing server determines the driving state of the driver B' according to the driving data B, including:

the cloud computing server determines the driving action of the driver B 'according to the action data of the driver B';

the cloud computing server matches the driving action of the driver B' with a pre-stored dangerous driving action set to obtain a driving action matching result;

and if the matching result of the driving action is successful, the cloud computing server determines that the driving state of the driver B' is abnormal.

Specifically, the cloud computing server determines a driving state of a vehicle C 'corresponding to the driver B' according to the driving data C, including:

if the running speed of the vehicle C ' corresponding to the driver B ' is not within the speed range allowed by the position of the vehicle C ' and/or the running track of the vehicle C ' deviates from the preset driving route of the vehicle C ', the cloud computing server determines that the running state of the vehicle C ' corresponding to the driver B ' is abnormal; alternatively, the first and second electrodes may be,

if the running speed of the vehicle C ' corresponding to the driver B ' is within the speed range allowed by the position of the vehicle C ' and the running track of the vehicle C ' is not deviated from the preset driving route of the vehicle C ', the cloud computing server determines that the running state of the vehicle C ' corresponding to the driver B ' is normal.

S205, the cloud computing server sends a plurality of current driving early warning results to the terminal equipment.

And S206, the terminal equipment receives a plurality of current driving early warning results fed back by the cloud computing server, and if the current driving early warning result A meets preset driving early warning conditions, a driving early warning setting operation is executed, wherein the current driving early warning result A is any one of the current driving early warning results.

The terminal equipment executes the set driving early warning operation in a parallel mode.

In some possible embodiments, the preset driving warning condition includes:

the driving state of the driver is normal, and the driving state of the vehicle is abnormal; alternatively, the first and second electrodes may be,

the driving state of the driver is abnormal, and the running state of the vehicle is normal; alternatively, the first and second electrodes may be,

the driving state of the driver and the running state of the vehicle are both abnormal.

If the preset driving early warning condition comprises that the driving state of the driver is normal and the driving state of the vehicle is abnormal, the driving early warning operation is set to forward the first driving early warning information, so that the equipment receiving the first driving early warning information plays the first driving early warning information according to the first volume.

If the preset driving early warning condition comprises that the driving state of the driver is abnormal and the driving state of the vehicle is normal, setting a driving early warning operation to forward second driving early warning information so that equipment receiving the second driving early warning information plays the second driving early warning information according to a second volume, wherein the second volume is less than the first volume; the first driving warning information is more likely to alert the driver and/or other passengers co-located with the driver than the second driving warning information.

If the preset driving early warning condition comprises that the driving state of the driver and the driving state of the vehicle are both abnormal, setting the driving early warning operation to forward third driving early warning information so that equipment receiving the third driving early warning information plays the third driving early warning information according to a third volume, wherein the third volume is larger than the first volume; the third driving warning information is more likely to alert the driver and/or other passengers co-located with the driver than the first driving warning information.

Compared with the manual driving early warning, the driving early warning has low efficiency and accuracy, in the embodiment of the application, the terminal sends a plurality of driving data and a plurality of driving data driving early warning requests to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of driving data and the plurality of driving data to the terminal equipment, and if any current driving early warning result meets the preset driving early warning condition, the terminal equipment executes corresponding set driving early warning operation, so that large-scale driving early warning is realized, and the driving early warning efficiency and accuracy are greatly improved.

Referring to fig. 3A, fig. 3A is a schematic flow chart of another communication control method according to an embodiment of the present application, where the communication control method includes steps S301 to S306, which are specifically as follows:

s301, the terminal device obtains brain wave data of each driver in the multiple drivers.

The brain wave acquisition device worn by the driver acquires brain wave data of the driver, sends the brain wave data of the driver to the terminal equipment, and can be an in-ear earplug.

S302, the terminal device obtains action data of each driver in a plurality of drivers and the running speed and the running track of each vehicle in a plurality of running vehicles, wherein the vehicles correspond to the drivers one by one.

Step S302 refers to the related description of step S201, and will not be described here.

Further, the action of the terminal device obtaining the brain wave data of each of the plurality of drivers may occur after the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, or may occur while the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, which is not limited herein.

And S303, judging whether the vehicles are in preset positions or not.

And S304, if the vehicles are at the preset positions, the terminal equipment sends driving early warning requests carrying a plurality of action data, a plurality of running speeds, a plurality of running tracks and a plurality of brain wave data to the cloud computing server, and the driving early warning requests are used for indicating the cloud computing server to feed back a plurality of driving early warning results.

S305, the cloud computing server receives a driving early warning request which is sent by the terminal device and carries a plurality of action data, a plurality of running speeds, a plurality of running tracks and a plurality of electroencephalogram data, and determines a plurality of current driving early warning results according to the plurality of action data, the plurality of running speeds, the plurality of running tracks and the plurality of electroencephalogram data, wherein the plurality of current driving early warning results correspond to the plurality of vehicles one to one.

In some possible embodiments, the cloud computing server determines a plurality of current driving warning results according to the plurality of motion data, the plurality of driving speeds, the plurality of driving tracks, and the plurality of brain wave data, including:

the cloud computing server determines the driving state of the driver B 'according to the action data and the brain wave data of the driver B', wherein the action data of the driver B 'is any one of a plurality of action data, and the brain wave data of the driver B' is any one of a plurality of brain wave data;

the cloud computing server determines the running state of the vehicle C 'corresponding to the driver B' according to the running speed and the running track of the vehicle C 'corresponding to the driver B', wherein the running speed of the vehicle C 'is any one of a plurality of running speeds, and the running track of the vehicle C' is any one of a plurality of running tracks;

Specifically, the cloud computing server determines the driving state of the driver B 'according to the action data and brain wave data of the driver B', including:

if the driving action matching result is successful, the cloud computing server judges whether the electroencephalogram data of the driver B' is smaller than a first preset threshold value;

if so, the cloud computing server determines that the driving state of the driver B' is abnormal.

The brain wave data can objectively and accurately represent the attention level of a driver, and can be a numerical value; the brain wave data has larger numerical value, and the attention level of the driver is more concentrated; the brain wave data has small value, and the attention level of the driver is dispersed.

Step S304 refers to the related description of step S203, and will not be described here.

S306, the cloud computing server sends a plurality of current driving early warning results to the terminal equipment.

And S307, the terminal equipment receives a plurality of current driving early warning results fed back by the cloud computing server, and if the current driving early warning result A meets preset driving early warning conditions, a driving early warning setting operation is executed, wherein the current driving early warning result A is any one of the current driving early warning results.

Step S306 is described in relation to step S205 and will not be described here.

Compared with the manual driving early warning, the driving early warning has low efficiency and accuracy, in the embodiment of the application, the terminal sends a driving early warning request of a plurality of action data, a plurality of driving speeds, a plurality of driving tracks and a plurality of electroencephalogram data to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of action data, the plurality of driving speeds, the plurality of driving tracks and the plurality of electroencephalogram data to the terminal device, and if any one current driving early warning result meets the preset driving early warning condition, the terminal device executes corresponding set driving early warning operation, so that large-scale driving early warning is realized, and the efficiency and accuracy of the driving early warning are greatly improved.

Referring to fig. 3B, fig. 3B is a schematic flow chart of another communication control method according to an embodiment of the present application, where the communication control method includes steps S311-S316, which are specifically as follows:

s311, the terminal device obtains eye data of each of the plurality of drivers.

The eye acquisition device acquires eye data of a driver, sends the eye data of the driver to the terminal equipment, and can be a camera on a vehicle.

And S312, the terminal device obtains the action data of each driver in the plurality of drivers and the running speed and the running track of each vehicle in the plurality of vehicles in running states, wherein the plurality of vehicles correspond to the plurality of drivers one by one.

Step S312 is described in relation to step S201, and will not be described here.

Further, the action of the terminal device obtaining the eye data of each of the plurality of drivers may occur after the terminal device obtains the action data of each of the plurality of drivers and the traveling speed and the traveling locus of each of the plurality of vehicles in the traveling state, or may occur while the terminal device obtains the action data of each of the plurality of drivers and the traveling speed and the traveling locus of each of the plurality of vehicles in the traveling state, which is not limited herein.

S313, the terminal device sends a driving early warning request carrying a plurality of action data, a plurality of running speeds, a plurality of running tracks and a plurality of eye data to the cloud computing server, and the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results.

S314, the cloud computing server receives a driving early warning request which is sent by the terminal device and carries a plurality of action data, a plurality of running speeds, a plurality of running tracks and a plurality of eye data, and determines a plurality of current driving early warning results according to the plurality of action data, the plurality of running speeds, the plurality of running tracks and the plurality of eye data, wherein the plurality of current driving early warning results correspond to the plurality of vehicles one to one.

In some possible embodiments, the cloud computing server determines a plurality of current driving warning results according to the plurality of motion data, the plurality of driving speeds, the plurality of driving tracks, and the plurality of eye data, including:

the cloud computing server determines the driving state of the driver B 'according to the action data and the eye data of the driver B', wherein the action data of the driver B 'is any one of a plurality of action data, and the eye data of the driver B' is any one of a plurality of eye data;

Specifically, the cloud computing server determines the driving state of the driver B 'according to the action data and the eye data of the driver B', and includes:

if the matching result of the driving action is successful, the cloud computing server determines the eye activity state according to the eye data of the driver B';

and if the eye activity state is smaller than a second preset threshold, the cloud computing server determines that the driving state of the driver B' is abnormal.

Wherein the eye activity state comprises whether the eye spirit is deviated or not, whether eye fatigue occurs or not and the like; the eye activity state may be a numerical value; the value of the eye activity state is large, and the driver possibly has no deviation of the eye spirit, no eye fatigue and the like; the eye activity state is small, and may be a deviation of the driver's gaze, eye fatigue, or the like.

And S315, the cloud computing server sends a plurality of current driving early warning results to the terminal equipment.

And S316, the terminal equipment receives a plurality of current driving early warning results fed back by the cloud computing server, and if the current driving early warning result A meets preset driving early warning conditions, a driving early warning setting operation is executed, wherein the current driving early warning result A is any one of the current driving early warning results.

Step S316 refers to the related description of step S205, which will not be described here.

Compared with the manual driving early warning, the driving early warning has low efficiency and accuracy, in the embodiment of the application, the terminal sends a driving early warning request of a plurality of action data, a plurality of driving speeds, a plurality of driving tracks and a plurality of eye data to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of action data, the plurality of driving speeds, the plurality of driving tracks and the plurality of eye data to the terminal equipment, and if any current driving early warning result meets the preset driving early warning condition, the terminal equipment executes corresponding set driving early warning operation, so that large-scale driving early warning is realized, and the efficiency and accuracy of the driving early warning are greatly improved.

Referring to fig. 4A, fig. 4A is a schematic flow chart of another communication control method provided in the embodiment of the present application, where the communication control method includes steps S401 to S407, which are specifically as follows:

s401, the terminal equipment obtains brain wave data of each driver in a plurality of drivers.

Step S401 refers to the related description of step S301, and will not be described here.

S402, the terminal device obtains physiological data of each driver in the plurality of drivers.

Wherein, the physiology collection system that the driver wore gathers driver's physiological data, and physiology collection system sends driver's physiological data to terminal equipment, and physiology collection system can be wearable wrist-watch, also can set up on driver's seat.

And S403, the terminal device obtains the action data of each of the multiple drivers and the running speed and the running track of each of the multiple vehicles in the running state, wherein the multiple vehicles correspond to the multiple drivers one by one.

Step S403 refers to the related description of step S201, and will not be described here.

Further, the action of the terminal device to obtain the brain wave data and the physiological data of each of the plurality of drivers may occur after the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, or may occur while the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, which is not limited herein.

S404, the terminal device sends a driving early warning request carrying a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data and a plurality of physiological data to the cloud computing server, and the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results.

S405, the cloud computing server receives a driving early warning request which is sent by the terminal device and carries a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data and a plurality of physiological data, and determines a plurality of current driving early warning results according to the plurality of action data, the plurality of driving speeds, the plurality of driving tracks, the plurality of brain wave data and the plurality of physiological data, wherein the plurality of current driving early warning results correspond to the plurality of vehicles one to one.

In some possible embodiments, the cloud computing server determines a plurality of current driving warning results according to the plurality of motion data, the plurality of driving speeds, the plurality of driving trajectories, the plurality of brain wave data, and the plurality of physiological data, including:

the cloud computing server determines the driving state of the driver B ' according to the action data, brain wave data and physiological data of the driver B ', wherein the action data of the driver B ' is any one of a plurality of action data, the brain wave data of the driver B ' is any one of a plurality of brain wave data, and the physiological data of the driver B ' is any one of a plurality of physiological data;

Specifically, the cloud computing server determines the driving state of the driver B 'according to the motion data, brain wave data and physiological data of the driver B', and includes:

if yes, the cloud computing server judges whether the physiological data of the driver B' is in a normal physiological parameter range;

if not, the cloud computing server determines that the driving state of the driver B' is abnormal.

The physiological data may include pulse data, heartbeat data, and blood pressure data, among others.

Step S405 refers to the related description of step S304, and will not be described here.

Further, the driving state of the driver B 'being abnormal includes the physiological data of the driver B' not being within the normal physiological parameter range, and at least one of:

the driving action matching result is that the matching is unsuccessful, and the electroencephalogram data of the driver B' is larger than or equal to a first preset threshold value.

S406, the cloud computing server sends a plurality of current driving early warning results to the terminal equipment.

S407, the terminal device receives a plurality of current driving early warning results fed back by the cloud computing server, and if the current driving early warning result A meets preset driving early warning conditions, a driving early warning setting operation is executed, wherein the current driving early warning result A is any one of the current driving early warning results.

Step S407 refers to the related description of step S205, and will not be described here.

Compared with the manual driving early warning, the driving early warning has low efficiency and accuracy, in the embodiment of the application, the terminal sends a driving early warning request of a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data and a plurality of physiological data to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of action data, the plurality of driving speeds, the plurality of driving tracks, the plurality of brain wave data and the plurality of physiological data to the terminal equipment, and if any current driving early warning result meets the preset driving early warning condition, the terminal equipment executes corresponding set driving early warning operation, so that large-scale driving early warning is realized, and the efficiency and accuracy of the driving early warning are greatly improved.

Referring to fig. 4B, fig. 4B is a schematic flowchart of another communication control method provided in the embodiment of the present application, where the communication control method includes steps S411 to S418, which are specifically as follows:

s411, the terminal device obtains brain wave data of each driver in the multiple drivers.

Step S411 refers to the related description of step S301, and will not be described here.

And S412, the terminal device obtains eye data of each driver in the plurality of drivers.

Step S412 is described in relation to step S311, and will not be described here.

S413, the terminal device obtains physiological data of each of the plurality of drivers.

Step S413 is described with reference to step S402, and will not be described here.

And S414, the terminal equipment obtains the action data of each of the multiple drivers and the running speed and the running track of each of the multiple vehicles in the running state, wherein the multiple vehicles correspond to the multiple drivers one by one.

Step S414 refers to the related description of step S201, and will not be described here.

Further, the action of the terminal device to obtain the brain wave data, the eye data and the physiological data of each of the plurality of drivers may occur after the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, or may occur while the terminal device obtains the action data of each of the plurality of drivers and the running speed and the running track of each of the plurality of vehicles in the running state, which is not limited herein.

And S415, the terminal device sends a driving early warning request carrying a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data, a plurality of eye data and a plurality of physiological data to the cloud computing server, and the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results.

S416, the cloud computing server receives a driving early warning request which is sent by the terminal device and carries a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of electroencephalogram data, a plurality of eye data and a plurality of physiological data, and determines a plurality of current driving early warning results according to the plurality of action data, the plurality of driving speeds, the plurality of driving tracks, the plurality of electroencephalogram data, the plurality of eye data and the plurality of physiological data, wherein the plurality of current driving early warning results correspond to the plurality of vehicles one to one.

In some possible embodiments, the cloud computing server determines a plurality of current driving warning results according to the plurality of motion data, the plurality of driving speeds, the plurality of driving tracks, the plurality of brain wave data, the plurality of eye data, and the plurality of physiological data, including:

the cloud computing server determines the driving state of the driver B 'according to the action data, brain wave data, eye data and physiological data of the driver B', wherein the action data of the driver B 'is any one of a plurality of action data, the brain wave data of the driver B' is any one of a plurality of brain wave data, the eye data of the driver B 'is any one of a plurality of eye data, and the physiological data of the driver B' is any one of a plurality of physiological data;

Specifically, the cloud computing server determines the driving state of the driver B 'according to the motion data, brain wave data, eye data and physiological data of the driver B', and includes:

if yes, the cloud computing server determines the eye activity state according to the eye data of the driver B';

if the eye activity state is smaller than a second preset threshold value, the cloud computing server judges whether the physiological data of the driver B' is in a normal physiological parameter range;

Step S416 refers to the related description of step S405, which will not be described here.

the driving action matching result is that the matching is unsuccessful, the electroencephalogram data of the driver B' is larger than or equal to a first preset threshold value, and the eye activity state is larger than or equal to a second preset threshold value.

S417, the cloud computing server sends a plurality of current driving early warning results to the terminal equipment.

And S418, the terminal equipment receives a plurality of current driving early warning results fed back by the cloud computing server, and if the current driving early warning result A meets preset driving early warning conditions, a driving early warning setting operation is executed, wherein the current driving early warning result A is any one of the current driving early warning results.

Step S418 refers to the related description of step S205, which will not be described here.

As can be seen, compared with the manual driving early warning, the efficiency and the accuracy of the driving early warning are lower, in the embodiment of the application, the terminal sends a driving early warning request of a plurality of motion data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data, a plurality of eye data and a plurality of physiological data to the cloud computing server, the cloud computing server sends a plurality of current driving early warning results determined based on the plurality of motion data, the plurality of driving speeds, the plurality of driving tracks, the plurality of brain wave data, the plurality of eye data and the plurality of physiological data to the terminal device, if any current driving early warning result meets the preset driving early warning condition, the terminal equipment executes corresponding driving early warning setting operation, therefore, large-scale driving early warning is realized, and the efficiency and the accuracy of the driving early warning are greatly improved.

The above embodiments mainly introduce the scheme of the embodiments of the present application from the perspective of the method-side implementation process. It is to be understood that the communication control apparatus includes hardware structures and/or software modules corresponding to the respective functions for realizing the above-described functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the communication control apparatus may be divided into the functional modules according to the method example, for example, each functional module may be divided according to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

The following is an embodiment of the apparatus of the present application, which is used to execute the method implemented by the embodiment of the method of the present application. Referring to fig. 5, fig. 5 is a block diagram of functional modules of a communication control apparatus 500 according to an embodiment of the present application, where the communication control apparatus 500 is applied to a terminal device, and the communication control apparatus 500 includes:

a first obtaining module 501, configured to obtain driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, where the plurality of vehicles correspond to the plurality of drivers one to one;

a judging module 502, configured to judge whether the plurality of vehicles are in preset positions;

a first sending module 503, configured to send a driving early warning request carrying multiple driving data and multiple driving data to a cloud computing server if the multiple vehicles are at preset positions, where the driving early warning request is used to instruct the cloud computing server to feed back multiple driving early warning results;

a first receiving module 504, configured to receive a plurality of current driving early warning results fed back by a cloud computing server, where the plurality of current driving early warning results correspond to a plurality of vehicles one to one;

and the executing module 505 is configured to execute a driving early warning setting operation if the current driving early warning result a is that a preset driving early warning condition is met, where the current driving early warning result a is any one of a plurality of current driving early warning results.

In some possible embodiments, in obtaining the driving data of each of the plurality of drivers and the driving data of each of the plurality of vehicles in the driving state, the first obtaining module 501 is specifically configured to:

obtaining action data of each of a plurality of drivers;

the running speed and the running track of each of the plurality of vehicles in the running state are obtained.

In some possible embodiments, the communication control apparatus 500 further includes a second obtaining module 506, where:

a second obtaining module 506, configured to obtain electroencephalogram data of each of the multiple drivers;

in terms of sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server, the first sending module 503 is specifically configured to:

and sending a driving early warning request carrying a plurality of action data, a plurality of running speeds, a plurality of running tracks and a plurality of brain wave data to a cloud computing server.

In some possible embodiments, the communication control apparatus 500 further includes a third obtaining module 507, where:

a third obtaining module 507, configured to obtain physiological data of each driver of the multiple drivers;

the method comprises the steps of sending a driving early warning request carrying a plurality of action data, a plurality of driving speeds, a plurality of driving tracks, a plurality of brain wave data and a plurality of physiological data to a cloud computing server.

In some possible embodiments, the preset driving warning condition includes:

Referring to fig. 6, fig. 6 is a block diagram of functional modules of another communication control apparatus 600 according to an embodiment of the present application, where the communication control apparatus 600 is applied to a cloud computing server, and the communication control apparatus 600 includes:

a second receiving module 601, configured to receive a driving early warning request, which is sent by a terminal device and carries driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, where the driving early warning request is used to instruct a cloud computing server to feed back a plurality of driving early warning results, and the plurality of vehicles correspond to the plurality of drivers one to one;

a determining module 602, configured to determine a plurality of current driving early warning results according to a plurality of driving data and a plurality of driving data, where the plurality of current driving early warning results correspond to a plurality of vehicles one to one;

a second sending module 603, configured to send multiple current driving warning results to the terminal device.

In some possible embodiments, in determining the plurality of current driving warning results according to the plurality of driving data and the plurality of driving data, the determining module 602 is specifically configured to:

determining a driving state of a driver B' according to driving data B, wherein the driving data B is any one of a plurality of driving data;

determining a driving state of a vehicle C 'corresponding to a driver B' from driving data C, the driving data C being any one of a plurality of driving data;

if the driving state of the driver B ' is abnormal and/or the driving state of the vehicle C ' is abnormal, determining that the current driving early warning result corresponding to the vehicle C ' meets the preset driving early warning condition; alternatively, the first and second electrodes may be,

and if the driving state of the driver B ' is normal and the running state of the vehicle C ' is normal, determining that the current driving early warning result corresponding to the vehicle C ' does not meet the preset driving early warning condition.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure, where the terminal device includes a memory, a processor, and a communication control program stored in the memory and executable on the processor, and the terminal device further includes a communication interface and a bus, where the memory, the processor, and the communication interface are connected through the bus, the processor executes the communication control program, and the communication control program includes instructions for performing the following steps:

the driving early warning method comprises the steps of sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server, wherein the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results;

In some possible embodiments, in obtaining driving data of each of the plurality of drivers and running data of each of the plurality of vehicles in a running state, the communication control program includes instructions specifically for performing the steps of:

obtaining action data of each of a plurality of drivers;

In some possible embodiments, the communication control program further includes instructions for performing the steps of:

acquiring brain wave data of each of a plurality of drivers;

in terms of sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server, the communication control program includes instructions specifically configured to perform the following steps:

obtaining physiological data for each of a plurality of drivers;

In some possible embodiments, the preset driving warning condition includes:

Referring to fig. 8, fig. 8 is a schematic structural diagram of a cloud computing server according to an embodiment of the present application, where the cloud computing server includes a memory, a processor, and a communication control program stored in the memory and executable on the processor, the cloud computing server further includes a communication interface and a bus, the memory, the processor, and the communication interface are connected through the bus, the processor executes the communication control program, and the communication control program includes instructions for performing the following steps:

In some possible embodiments, the communication control program, in determining the plurality of current driving warning results based on the plurality of driving data and the plurality of driving data, includes instructions specifically for performing the steps of:

Embodiments of the present application provide a computer storage medium storing a communication control program, which is executed by a processor to implement steps in any one of the methods described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a communication control program operable to cause a computer to perform steps in any of the methods as set forth in the above method embodiments. The computer program product may be a software installation package.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the above-described modules is merely a logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some interfaces, and may be in an electrical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

The integrated modules, if implemented in the form of software functional modules and sold or used as separate products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific implementation and application scope, and in view of the above, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A communication control method is applied to a terminal device, and the method comprises the following steps:

judging whether the plurality of vehicles are at preset positions or not;

if the vehicles are at preset positions, sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server, wherein the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results;

receiving a plurality of current driving early warning results fed back by the cloud computing server, wherein the current driving early warning results correspond to the vehicles one by one;

and if the current driving early warning result A meets the preset driving early warning condition, executing a driving early warning setting operation, wherein the current driving early warning result A is any one of the current driving early warning results.

2. The method according to claim 1, wherein the obtaining driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state comprises:

obtaining action data of each of a plurality of drivers;

3. The method according to claim 2, wherein prior to obtaining the driving data of each of the plurality of drivers and the travel data of each of the plurality of vehicles in a travel state, the method further comprises:

obtaining brain wave data of each of the plurality of drivers;

the sending of a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server includes:

4. The method of claim 3, wherein prior to obtaining brain wave data for each of the plurality of drivers, the method further comprises:

obtaining physiological data for each of the plurality of drivers;

5. The method according to any one of claims 1-4, wherein the preset driving warning condition comprises:

the driving state of the driver is normal, and the running state of the vehicle is abnormal; alternatively, the first and second electrodes may be,

6. A communication control method is applied to a cloud computing server, and comprises the following steps:

receiving a driving early warning request which is sent by a terminal device and carries driving data of each driver in a plurality of drivers and driving data of each vehicle in a plurality of vehicles in a driving state, wherein the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results, and the vehicles correspond to the drivers one to one;

and sending the current driving early warning results to the terminal equipment.

7. The method of claim 6, wherein determining a plurality of current driving warning results from the plurality of driving data and the plurality of driving data comprises:

determining a driving state of a driver B' according to driving data B, wherein the driving data B is any one of the plurality of driving data;

determining a driving state of a vehicle C 'corresponding to the driver B' according to driving data C, wherein the driving data C is any one of the plurality of driving data;

8. A communication control apparatus, applied to a terminal device, the apparatus comprising:

a first obtaining module configured to obtain driving data of each of a plurality of drivers and driving data of each of a plurality of vehicles in a driving state, the plurality of vehicles being in one-to-one correspondence with the plurality of drivers;

the system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a driving early warning request carrying a plurality of driving data and a plurality of driving data to a cloud computing server if the plurality of vehicles are at preset positions, and the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results;

and the execution module is used for executing the operation of setting the driving early warning if the current driving early warning result A meets the preset driving early warning condition, wherein the current driving early warning result A is any one of the current driving early warning results.

9. A communication control device applied to a cloud computing server, the device comprising:

the second receiving module is used for receiving a driving early warning request which is sent by a terminal device and carries driving data of each driver in a plurality of drivers and driving data of each vehicle in a plurality of running vehicles, the driving early warning request is used for indicating the cloud computing server to feed back a plurality of driving early warning results, and the vehicles correspond to the drivers one to one;

the determining module is used for determining a plurality of current driving early warning results according to a plurality of driving data and a plurality of driving data, and the current driving early warning results correspond to the vehicles one by one;

and the second sending module is used for sending the current driving early warning results to the terminal equipment.

10. A computer-readable storage medium, characterized in that a communication control program is stored thereon, which is executed by a processor to implement the steps in the communication control method according to any one of claims 1 to 5 or the steps in the communication control method according to claim 6 or 7.