CN106228755A - Fatigue driving method for early warning and cloud server - Google Patents
Fatigue driving method for early warning and cloud server Download PDFInfo
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- CN106228755A CN106228755A CN201610662978.3A CN201610662978A CN106228755A CN 106228755 A CN106228755 A CN 106228755A CN 201610662978 A CN201610662978 A CN 201610662978A CN 106228755 A CN106228755 A CN 106228755A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Control Of Vehicle Engines Or Engines For Specific Uses (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Auxiliary Drives, Propulsion Controls, And Safety Devices (AREA)
Abstract
The open a kind of fatigue driving method for early warning of the present invention and cloud server, wherein the method comprises the following steps: receives intelligent vehicle-carried unit and comprises the information of vehicle continuous operating time, car speed and engine operating state；According to above-mentioned vehicle continuous operating time, car speed and engine operating state information, determine the fatigue driving state grade of described driver；Send the instruction corresponding with the fatigue driving state grade of described driver.The present invention need not the state to driver or sense organ consciousness is acquired and complicated identification, the detection information of the vehicles such as the running status having only to the continuous operating time according to vehicle, car speed and transmitter i.e. can determine whether fatigue driving state grade, readily identified and judge, controllable higher, and the relative reduction framework of hardware cost and system.
Description
Technical field
The present invention relates to a kind of fatigue driving early warning technology, especially a kind of fatigue driving method for early warning cloud server.
Background technology
Along with popularizing of automobile, people are more and more higher to the requirement of automobile driving safe.According to statistics, more than 60%
Vehicle accident is relevant with fatigue driving, and because of fatigue driving cause vehicle accident account for vehicle accident sum about 20%, account for
More than the 40% of especially big vehicle accident." law on road traffic safety implementing regulations " the 62nd article of seventh item regulation: driving maneuver
Car must not continuously drive the not parking rest more than 4 hours.Visible, preventing fatigue driving has significant meaning, and therefore has
There is demand widely.
One of scheme of anti-fatigue-driving system of the prior art is to utilize photographic head to be monitored driver, and uses
State identifier is identified, to judge whether driver is in fatigue state；Another kind of scheme is to use sensors to measure
The blood oxygen saturation of driver, thus judge whether driver is in fatigue state, in order to give a warning prompting.Above-mentioned anti-fatigue
All there is the problems such as structure is complicated, be difficult to control to, hardware cost is high in control loop.
Additionally, after long-duration driving, driver can produce sense due to the geo-stationary of upper body and single environment
Fatigue on official, includes but not limited to vision and auditory fatigue etc..This makes driver reduce the sensitivity of warning, thus not
It is beneficial to the timely reception and registration of warning.
Summary of the invention
The main object of the present invention is to provide a kind of fatigue driving method for early warning, early warning system and cloud server, it is intended to
Simplify the structure of anti-fatigue-driving system, reduce hardware cost and improve the controllable property simplifying anti-fatigue-driving system.
For achieving the above object, the fatigue driving system early warning method that the present invention proposes, comprise the following steps:
Receiving the status information of the vehicle traveling that intelligent vehicle-carried unit sends, the status information that described vehicle travels comprises car
Continuous operating time, car speed and the information of engine operating state；
According to described vehicle continuous operating time, car speed and the information of engine operating state, determine described driving
The fatigue driving state grade of member；
Send corresponding with the fatigue driving state grade of described driver to intelligent mobile terminal or intelligent vehicle-carried unit
Instruction.
Preferably, described according to described vehicle continuous operating time, car speed and the information of engine operating state, really
The step of the fatigue driving state grade determining driver includes:
Information according to described engine operating state judges whether described electromotor is in running status；
If described electromotor is in running status, then determine described according to described vehicle continuous operating time and car speed
The fatigue driving state grade of driver.
Preferably, the described fatigue driving determining described driver according to described vehicle continuous operating time and car speed
The step of state grade includes:
Described car speed and described vehicle continuous operating time is utilized to obtain VMT Vehicle-Miles of Travel, relatively described vehicle row
Sail mileage and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
When described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel is less than mileage threshold value
Time, determine that described driver is in one-level fatigue driving state；
When described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel reaches mileage threshold value, really
Fixed described driver is in two grades of fatigue driving states；
When described vehicle continuous operating time is less than time threshold, it is determined that described driver is in non-fatigue driving shape
State.
Preferably, described according to described vehicle continuous operating time, car speed and the information of engine operating state, really
The fatigue driving state grade determining driver also includes:
If described electromotor is in non-operating state, then it is in the duration of non-operating state at described electromotor more than presetting
During duration, determine that described driver is in non-fatigue driving state, described vehicle continuous operating time is made zero.
Preferably, described the fatigue driving state with described driver is sent to intelligent mobile terminal or intelligent vehicle-carried unit
Instruction corresponding to grade includes further:
When judging that described driver is in one-level fatigue driving state, then send alarm command to intelligent mobile terminal；
When judging that described driver is in two grades of fatigue driving states, then send flame-out control to intelligent vehicle-carried unit
Instruction.
The present invention also provides for a kind of cloud server, including:
Remotely receiving port, the status information that the vehicle sent for receiving intelligent vehicle-carried unit travels, described vehicle row
The status information sailed comprises the information of vehicle continuous operating time, car speed and engine operating state；
Judge module, is used for according to described vehicle continuous operating time, car speed and engine operating state information, really
Determine the fatigue driving state grade of driver；
Described instruction module, drives for the fatigue sent with described driver to intelligent mobile terminal or intelligent vehicle-carried unit
Sail the instruction that state grade is corresponding.
Preferably, described judge module includes:
First determines module, for judging whether described electromotor is in fortune according to the information of described engine operating state
Row state；
Second determines module, for when described electromotor is in running status, according to described vehicle continuous operating time
And car speed determines the fatigue driving state grade of described driver.
Preferably, described second determines that module includes:
Comparison module, is used for utilizing described car speed and described vehicle continuous operating time to obtain VMT Vehicle-Miles of Travel,
Relatively described VMT Vehicle-Miles of Travel and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
One-level fatigue module, for being more than or equal to time threshold at described vehicle continuous operating time, and vehicle travels
When mileage is less than mileage threshold value, determine that described driver is in one-level fatigue driving state；
Two grades of tired modules, for being more than or equal to time threshold at described vehicle continuous operating time, and vehicle travels
When mileage reaches mileage threshold value, determine that described driver is in two grades of fatigue driving states；
Non-tired module, for when described vehicle continuous operating time is less than time threshold, determining at described driver
In non-fatigue driving state.
Preferably, described judge module farther includes:
3rd determines module, for being in non-operating state at described electromotor, and is in inoperative at described electromotor
When the duration of state is more than preset duration, determines that described driver is in non-fatigue driving state, described vehicle is run continuously
Time makes zero.
Preferably, described instruction module includes:
Described first-level instruction module, for when described driver is in one-level fatigue driving state, whole to intelligent mobile
End sends alarm command；
Described two grades of instruction modules, for when described driver is in two grades of fatigue driving states；Then to intelligent vehicle-carried
Unit sends flame-out control instruction.
In technical solution of the present invention, by vehicle continuous operating time, car speed and transmitter operation time etc. are believed
Number it is acquired, is judged the fatigue driving state grade of driver by above-mentioned information, and then according to different fatigue driving shapes
State grade sends different instruction, even thus play warning function control action, indirectly judge from the running status of vehicle
The fatigue driving state of driver, and transmission instruction of classifying, hinge structure, it is not necessary to state or the sense organ to driver
Consciousness is acquired and complicated identification, it is only necessary to according to the operation of continuous operating time, car speed and the transmitter of vehicle
The detection information of the vehicles such as state i.e. can determine whether fatigue driving state grade, it is easy to identifies and judges, controllable higher, and relatively
Reduce hardware cost.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to the structure shown in these accompanying drawings.
Fig. 1 is the system architecture figure of cloud server one embodiment of the present invention；
Fig. 2 is the flow chart of fatigue driving method for early warning one embodiment of the present invention；
Fig. 3 is the refinement flow chart of step 20 in Fig. 2；
Fig. 4 is the refinement flow chart of step 20B in Fig. 3；
Fig. 5 is the fatigue driving state grade decision flow chart of fatigue driving method for early warning of the present invention；
Fig. 6 is the detail flowchart of fatigue driving method for early warning in Fig. 2；
Fig. 7 is the detailed framework figure of cloud server in Fig. 1.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further referring to the drawings.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Base
Embodiment in the present invention, those of ordinary skill in the art obtained under not making creative work premise all its
His embodiment, broadly falls into the scope of protection of the invention.
It is to be appreciated that directional instruction in the embodiment of the present invention (such as up, down, left, right, before and after ...) is only used
In explaining relative position relation between each parts, motion conditions etc. under a certain particular pose (as shown in drawings), if should
When particular pose changes, then directionality instruction changes the most therewith.
It addition, in the present invention such as relating to the description of " first ", " second " etc. be only used for describe purpose, and it is not intended that
Indicate or imply its relative importance or the implicit quantity indicating indicated technical characteristic.Thus, define " first ",
The feature of " second " can express or implicitly include at least one this feature.In describing the invention, the containing of " multiple "
Justice is at least two, such as two, three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " connects ", " fixing " etc. should be interpreted broadly,
Such as, " fixing " can be fixing connection, it is also possible to be to removably connect, or integral；Can be to be mechanically connected, it is also possible to be
Electrical connection；Can be to be joined directly together, it is also possible to be indirectly connected to by intermediary, can be the connection or two of two element internals
The interaction relationship of individual element, unless otherwise clear and definite restriction.For the ordinary skill in the art, can basis
Concrete condition understands above-mentioned term concrete meaning in the present invention.
It addition, the technical scheme between each embodiment of the present invention can be combined with each other, but must be general with this area
Based on logical technical staff is capable of, when technical scheme combination occur conflicting maybe cannot realize time will be understood that this
The combination of technical scheme does not exists, the most not within the protection domain of application claims.
Fatigue driving method for early warning of the present invention based on system architecture be referred to shown in Fig. 1.This framework can relate to:
Information acquisition unit 1, for continuously generating information data vehicle continuous operating time, the car speed comprised and sending out
The information data of motivation running status；Can be specifically the sensor of a series of corresponding function and the circuit with the function that clocks；
Information acquisition unit 1 and intelligent vehicle-carried unit 2 can realize radio communication by network or bluetooth；
Intelligent vehicle-carried unit 2, may be disposed on vehicle, real with the media device on vehicle and controller by CAN
Now communicate, realize communicating with cloud server by wireless network；It can be specifically the vehicle-mounted computer of employing wireless communication technology
System T-BOX (Telematics BOX), onboard diagnostic system OBD (On-Board Diagnostic) etc.；
Intelligent mobile terminal 3, can be specifically mobile phone, panel computer, Intelligent bracelet, intelligent watch etc., pass through wireless network
Media device on network and vehicle and vehicle control device 5, cloud server 4 realize radio communication；
Cloud server 4, is communicated with intelligent mobile terminal foundation by remote interface and network.It is configured with memorizer and place
Reason device；
Memorizer, for storing the executable instruction of processor；Processor, comprises for obtaining from intelligent vehicle-carried cell side
The information data of vehicle continuous operating time, car speed and engine operating state；Above-mentioned data are processed, and according to presetting
Program run and judge, finally determine the fatigue driving state grade of driver, and according to fatigue driving state grade to intelligence
Energy mobile terminal 3 or intelligent vehicle-carried unit 2 send instruction.
Below based on said system framework, embodiment of the present invention scheme is described in detail.
One embodiment of the invention provides a kind of fatigue driving method for early warning, sees Fig. 2, and the method comprises the following steps:
Step 10, receives the status information of the vehicle traveling that intelligent vehicle-carried unit sends, the state letter that described vehicle travels
Breath comprises the information of vehicle continuous operating time, car speed and engine operating state；
Step 20, according to described vehicle continuous operating time, car speed and the information of engine operating state, determines and drives
The fatigue driving state grade of the person of sailing；
Step 30, sends the fatigue driving state grade with described driver to intelligent mobile terminal or intelligent vehicle-carried unit
Corresponding instruction.
After cloud server receives the status information that above-mentioned vehicle travels, according to what the status information that vehicle travels comprised
The information of vehicle continuous operating time, car speed and engine operating state, it is possible to determine the fatigue driving state of driver
Grade, need exist for explanation is only when the status information of the above-mentioned vehicle traveling gathered reaches the situation of fatigue driving state
Under, just can be to should determine that fatigue driving state grade, if not up to fatigue driving state, next time is gathered by samsara the most successively
Information is analyzed, judges；And cloud server can form different instructions according to different fatigue driving state grades, to
Intelligent mobile terminal sends, or sends to intelligent vehicle-carried unit；Such as, when fatigue driving state grade is relatively low, corresponding to driving
Member is in slight fatigue, can send instruction and remind driving to have a rest；When fatigue driving state is higher ranked, corresponding to driving
Member is in high cycle fatigue, can send instruction control transmitter and stop working or abrupt deceleration vehicle.
Preferably, seeing Fig. 3, described step 20 farther includes:
According to the information of described engine operating state, step 20A, judges whether described electromotor is in running status.Send out
The running state information of motivation includes running and flame-out two states, can obtain, pass by the way of gathering sensor information
Sensor can be the sensor that perception engine starts or stops working, and such as, when electromotor is transferred to startup by stopping working, then senses
The induction end of device sends change, and the information of information output changes therewith, then information gathering end is hereby it is possible to judge to set out
The running status sending machine is transferred to startup by flame-out.If electromotor is in running status, then perform step 20B；If transmitter
It is in flameout state, then performs step 20C.
Step 20B, if described electromotor is in running status, then according to described vehicle continuous operating time and car speed
Determine the fatigue driving state grade of described driver；
On the premise of electromotor is in running status, vehicle continuous operating time and car speed determine described driver
Fatigue driving state grade.
During time threshold according to experiment obtain data, here can first using time threshold as the first distinguishing hierarchy circle
Limit, vehicle continuous operating time is defined as non-fatigue driving state less than time threshold；Meet or exceed the boundary of time threshold
It is set to fatigue driving state；Only when driver is in fatigue driving state, just carry out the judgement of fatigue driving state grade.
Here can be using mileage threshold value or car speed as the second level division limits；It is positioned at time threshold and mileage threshold value
Between area be one-level fatigue driving state；It is positioned at more than mileage threshold value as two grades of fatigue driving states；Here vehicle
Distance travelled can calculate according to the speed of service of the continuous operating time of vehicle and vehicle and obtain, it is also possible to from the mileage of vehicle
Meter directly obtains.
When described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel is less than mileage threshold value
Time, it may be determined that described driver is in one-level fatigue driving state；When described vehicle continuous operating time is more than or equal to the time
Threshold value, when VMT Vehicle-Miles of Travel reaches mileage threshold value, determines that described driver is in two grades of fatigue driving states.
Step 20C, if described electromotor is in non-operating state, is then in the duration of non-operating state at described electromotor
During more than preset duration, determine that described driver is in non-fatigue driving state, described vehicle continuous operating time is made zero.
If electromotor is in stopping i.e. flameout state, then it is assumed that driver is in resting state, if the time of having a rest reaches
To preset duration, then it is assumed that driver has obtained sufficient rest, just resets vehicle continuous operating time, and vehicle is again started up
Time, vehicle continuous operating time recalculates；If the time of having a rest is not reaching to preset duration, then it is assumed that driver does not obtain
Sufficiently having a rest, would not reset vehicle continuous operating time, when vehicle is again started up, vehicle continuous operating time was originally
On the basis of continue accumulative.
Such scheme, from the parameter of vehicle self, it is judged that the fatigue state grade of driver, it is not necessary to according to driving
Behavior and the consciousness of member are analyzed and judge, it is easy to identify and simplify judgement flow process, controllable higher, and relative reduction
Hardware cost.
Preferably, seeing Fig. 4, step 20B farther includes:
Step 201, utilizes described car speed and described vehicle continuous operating time to obtain VMT Vehicle-Miles of Travel, compares institute
State VMT Vehicle-Miles of Travel and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
Car speed can be average speed, it is also possible to be instantaneous velocity；If car speed is average speed V, vehicle
Continuous operating time is t；Then by S=V × t, it is thus achieved that VMT Vehicle-Miles of Travel S；If car speed is instantaneous velocity Vi, then byObtain VMT Vehicle-Miles of Travel S；Car speed can be obtained by velocity sensor detection, averages instantaneous velocity
Vehicle average speed within a period of time can be obtained；The revolution of wheel can also be carried out by VMT Vehicle-Miles of Travel by enumerator
Counting, is finally obtained by total revolution product of the girth of wheel with wheel, compares two parameters here, and first compares vehicle travels
Mileage S and mileage threshold value, second compares vehicle continuous operating time t and time threshold, respectively as two-stage fatigue driving state
Boundary.
Step 202, when described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel is less than inner
During journey threshold value, determine that described driver is in one-level fatigue driving state；
Step 203, when described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel reaches mileage
Threshold value, determines that described driver is in two grades of fatigue driving states；
Step 204, when described vehicle continuous operating time is less than time threshold, it is determined that described driver is in non-fatigue
Driving condition.
First comparison module calls vehicle continuous operating time parameter, compares vehicle continuous operating time and time threshold,
As long as vehicle is in running status, this time will continue to increase, if vehicle continuous operating time is less than time threshold, then
Judge that driver is in non-fatigue driving state, and next round vehicle continuous operating time data are compared；When being accumulated to
The time threshold preset, determines the fatigue state grade of driver further according to VMT Vehicle-Miles of Travel；
If VMT Vehicle-Miles of Travel is less than mileage threshold value, determine that described driver is in one-level fatigue driving state, trigger
First-level instruction module；And next mileage is compared；If VMT Vehicle-Miles of Travel is more than or equal to mileage threshold value, then touch
Send out second and determine module, determine that driver is in two grades of fatigue state grades.
See Fig. 5, first pass through the running status of electromotor to judge whether electromotor is in running status, if electromotor
Be in running status, then call two and judge parameter, one be parameter be the continuous operating time of vehicle, another is vehicle
Distance travelled, if in above-mentioned two parameter, the continuous operating time of vehicle meets the time threshold condition of setting, the row of vehicle
Sail the mileage threshold condition that mileage is unsatisfactory for setting, it is determined that driver is in one-level fatigue driving state, if above-mentioned two
Parameter is satisfied by respective threshold condition, it is determined that driver is in two grades of fatigue driving states；If electromotor is in stopping shape
State, then judge whether the dwell time of vehicle is more than preset duration, if it is, VMT Vehicle-Miles of Travel the most now is with vehicle even
Whether the reforwarding row time exceedes respective threshold value, all thinks that driver has obtained sufficient rest, to vehicle when running continuously
Between and distance travelled reset；If the dwell time of vehicle is not more than preset duration, then continuously the running status of electromotor is entered
Row monitoring.
First above-mentioned judgement flow process starts with from the state judging electromotor, respectively continuous operating time and the car of vehicle
Distance travelled as the reference aspect of two aspects, the continuous operating time of vehicle has reacted when driving continuously of driver
Between, the time is the longest, the easiest fatigue；On the basis of knowing the continuous operating time of vehicle, add the distance travelled of vehicle
The time can driven at a high speed from side reaction driver, drive to need driver's spirit high concentration at a high speed, it is easy to tired out, also
It is the one of the main reasons of fatigue driving, if average speed per hour is more than 120 kilometers/hour, drive continuously 5 hours and mean time
Speed, at about 40 kilometers/hour, is driven continuously 5 hours, is well imagined, the former driver is prone to tired certainly, and this programme is exactly
Consider above-mentioned factor, based on above-mentioned judgement flow process, it is possible to react the fatigue state of driver more really, improved
The accuracy of method for early warning.
Specifically, as shown in Figure 6, the fatigue driving method for early warning specific implementation process that the embodiment of the present invention provides is as follows:
Step 1, the status information that intelligent vehicle-carried unit collection vehicle travels, the status information that described vehicle travels comprises car
Continuous operating time, car speed and the information of engine operating state；
The rotating speed of wheel can be detected by car speed by the velocity sensor being arranged on vehicle, and by vehicle half
Footpath finally obtains car speed, and this calculating process can be complete by operation program by the circuit being integrated within velocity sensor
Become；The running status of electromotor also can be sensed by sensor, when electromotor is in running status, and sensor output high level letter
Number, when electromotor is in flameout state, transducers output low-level signal, time keeping circuitry is by exporting high level to sensor
Carrying out during signal clocks can obtain the continuous operating time of vehicle.
Intelligent vehicle-carried cell side, sets up communication connection by acquisition module timing with described sensor, and collection comes from
The pulse signal of sensor；Here acquisition module specifically includes interface circuit, clock circuit, agitator etc.；Interface circuit can
To be a wired or wireless network interface, it is configured to be connected to intelligent mobile terminal side the interface of network；Acquisition module is also
Can be obtained by CAN line and comprise these information such as vehicle continuous operating time, car speed and engine operating state.
Step 2, intelligent vehicle-carried unit sends to cloud server after processing above-mentioned information；
The most intelligent vehicle-carried unit is connected to network by sending module by above-mentioned network interface, will comprise vehicle
The fatigue state request of continuous operating time, car speed and engine operating state information transmits to cloud server；
Sending module is specially data transmission (I/O) interface；
Step 10, what the cloud server described intelligent vehicle-carried unit of reception sent comprises vehicle continuous operating time, vehicle
Speed and the information of engine operating state；
Cloud server side receives by remote interface and includes that vehicle continuous operating time, car speed and electromotor run
The data of the fatigue state decision request of status information；And above-mentioned data are stored in memorizer；
Step 20, cloud server is according to above-mentioned vehicle continuous operating time, car speed and engine operating state
Information, determines the fatigue driving state grade of described driver；
Data are carried out corresponding noise reduction filtration and analyzing and processing, can reliably react the letter of travel condition of vehicle the most at last
The data of breath are judged module as valid data and call；
Step 30, described cloud server to intelligent mobile terminal or intelligent vehicle-carried unit send with described driver tired
Please the instruction that state grade is corresponding is sailed；Here instruction can be alarm command, it is also possible to be control instruction.
Described step 30 further includes:
Step 301, when determining that driver is currently at one-level fatigue driving state, then sends early warning to intelligent mobile terminal
Instruction；
Step 302, when determining that driver is currently at two grades of fatigue driving states, then sends to intelligent vehicle-carried unit and controls
Instruction.
Here first-level instruction module can be when described driver be in one-level fatigue driving state, to intelligent mobile terminal
Send alarm command；Two grades of instruction modules can be when described driver be in two grades of fatigue driving states；Then to intelligent vehicle-carried
Unit sends flame-out control instruction.
First judge first from vehicle continuous operating time, such as when vehicle continuous operating time reach 4 little time
More than (time threshold is 4 hours, is certainly also not necessarily limited to a value, it is also possible to be a time period), then assert that driver is in
Fatigue driving state, carries out secondary judgement further, if continuous 4 hourly average speed per hours are relatively low, VMT Vehicle-Miles of Travel does not reaches
Mileage threshold value, then it is assumed that driver is currently at one-level fatigue driving state, needs to point out driver to have a rest, and cloud server leads to
Cross first-level instruction module and send alarm command to intelligent mobile terminal；If continuous 4 hours run at high speed, such as speed per hour is public 120
In/hour more than, mileage reaches 500 kilometers (mileage threshold values), if now electromotor is also in running status, then assert driver
It is currently at two grades of fatigue driving states, needs to force engine misses；Cloud server passes through two grades of instruction modules to intelligence
Board units sends flame-out control instruction.
If now electromotor is in halted state, then judge the dwell time of transmitter, if the time that electromotor has stopped
More than or equal to preset duration, it is believed that driver has obtained time enough rest, then vehicle continuous operating time and continuous row
Sail mileage to reset, if the time stopped is less than preset duration, it is believed that driver does not obtain time enough and has a rest, then continue
Continue cumulative vehicle continuous operating time and continuously drive mileage, and determining that when electromotor runs again described driver is in two
Level fatigue driving state, needs to force engine misses；Cloud server is sent out to intelligent vehicle-carried unit by two grades of instruction modules
Send flame-out control instruction.
Can also judge that fatigue driving state is determined by flow process by other: such as can first determine whether car speed,
When car speed reaches more than 120 kilometers/hour, then continuous operating time is monitored, if the time reaches more than 4 hours,
Electromotor also in duty, then assert that driver is in two grades of fatigue driving states, forces engine misses, allows driver
Have a rest；If car speed is less than 120 kilometers/hour, then continuous operating time is monitored, if the time reaches more than 4 hours,
Electromotor also in duty, then assert that driver is in one-level fatigue driving state, sends alarm command prompting driver
Have a rest；If engine continuous is in running order, then VMT Vehicle-Miles of Travel is monitored, such as, reach more than 800 kilometers, assert
Driver is in two grades of fatigue driving states, and electromotor also in duty, then assert that driver is in two grades of fatigue drivings
State, forces engine misses, allows driver have a rest.
Certainly also it is not exclusively by vehicle continuous operating time, car speed and engine operating state information are carried out point
Other idiographic flows that analysis judges.
Step 3, described intelligent vehicle-carried unit receives and transmits described instruction, or described intelligent mobile terminal receives and performs
Described instruction；
The different fatigue state grade being presently in here according to driver, different equipment interconnections the instruction received is carried out
Corresponding process；
Specifically, when driver is currently at one-level fatigue driving state, by first-level instruction module by wireless network to
Intelligent mobile terminal sends alarm command；After intelligent mobile terminal receives this alarm command, intelligent mobile terminal self can be passed through
Display unit show described alarm command, described alarm command can be such as word or Picture card cartoon information, it is also possible to is
Sound and light alarm signal, can send sound and light alarm by the acoustooptic cell of intelligent mobile terminal self, additionally, intelligent mobile terminal is also
The current running state parameter of vehicle can be obtained by cloud server, and show that described vehicle is transported continuously on reality unit
The information such as the row time mileage corresponding with car speed, engine operating state.
When driver is currently at two grades of fatigue driving states, by two grades of instruction modules by wireless network to intelligent vehicle
Carrier unit sends control instruction, after intelligent vehicle-carried unit receives this control instruction, and can be by total by CAN with intelligent vehicle-carried unit
The display unit of onboard system that line connects shows, described control instruction such as can be with word or Picture card cartoon information
Form shows, and sends control instruction by CAN to vehicle control device by intelligent vehicle-carried unit simultaneously, to control to start
Machine is out of service, additionally, intelligent vehicle-carried unit can also obtain the current running state parameter of vehicle by cloud server, and
Reality unit shows the described vehicle continuous operating time mileage corresponding with car speed, engine operating state etc.
Information.
Be connected to network by above-mentioned network interface equally, by network and input and output (I/O) interface from
The feedback of cloud server, comprises control instruction in feedback information, control instruction is that the fatigue state according to driver draws,
The fatigue state of driver carries out judging drawing according to the current sign information of driver；Server side is carried out specifically beyond the clouds
Bright.
One embodiment of the invention also provides for a kind of cloud server, sees Fig. 7, and this cloud server 4 includes remotely receiving
Port 41, judge module 42 and instruction module 43；
The status information that the vehicle that remotely receiving port 41 sends for receiving intelligent vehicle-carried unit travels, described vehicle row
The status information sailed comprises the information of vehicle continuous operating time, car speed and engine operating state；Remotely receiving port
Can be network interface or input and output (I/O) interface etc., and by wireless network transmissions data between intelligent vehicle-carried unit.
Judge module 42 is according to described vehicle continuous operating time, car speed and the information of engine operating state, really
Determine the fatigue driving state grade of driver；Judge module carries out logical operations according to default program to above-mentioned information, finally
Determine fatigue driving state grade.
Instruction module 43 is for sending the fatigue driving with described driver to intelligent mobile terminal or intelligent vehicle-carried unit
The instruction that state grade is corresponding.
Cloud server, is communicated, from intelligent vehicle-carried with intelligent mobile terminal foundation by long-range receiving port 41 and network
Unit 2 side obtains the information data comprising vehicle continuous operating time, car speed and engine operating state；To above-mentioned data
Process, and run according to default program and judge, finally determine the fatigue driving state grade of driver；Cloud server 4
Different instructions can be formed according to different fatigue driving state grades, send to intelligent mobile terminal, or to intelligent vehicle-carried list
Unit sends.
Preferably, described judge module 42 includes that first determines that module 104 and second determines module 204；Wherein first is true
According to the information of described engine operating state, cover half block 104 is for judging whether described electromotor is in running status；Second
Determine module 204 for when described electromotor is in running status, according to described vehicle continuous operating time and car speed
Determine the fatigue driving state grade of described driver.
Preferably, described judge module 42 farther includes:
3rd determines module 304, for being in non-operating state at described electromotor, and is in non-fortune at described electromotor
When the duration of row state is more than preset duration, determines that described driver is in non-fatigue driving state, described vehicle is transported continuously
The row time makes zero.
The running state information of electromotor includes running and flame-out two states, can be by gathering the side of sensor information
Formula obtains, and sensor can be the sensor that perception engine starts or stops working, and such as, is transferred to startup at electromotor by flame-out
Time, then sensor induction end send change, the information of information output changes therewith, then information gathering end hereby it is possible to
Judge that the running status of transmitter is transferred to startup by flame-out.If electromotor is in running status, then triggers first and determine mould
Block or second determines module；If transmitter is in flameout state, then triggers the 3rd and determine module.
During time threshold according to experiment obtain data, here can first using time threshold as the first distinguishing hierarchy circle
Limit, vehicle continuous operating time is defined as non-fatigue driving state less than time threshold；Meet or exceed the boundary of time threshold
It is set to fatigue driving state；Only when driver is in fatigue driving state, just carry out the judgement of fatigue driving state grade.
Here can be using mileage threshold value or car speed as the second level division limits；It is positioned at time threshold and mileage threshold value
Between area be one-level fatigue driving state；It is positioned at more than mileage threshold value as two grades of fatigue driving states；Here vehicle
Distance travelled can calculate according to the speed of service of the continuous operating time of vehicle and vehicle and obtain, it is also possible to from the mileage of vehicle
Meter directly obtains.
When described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel is less than mileage threshold value
Time, it may be determined that described driver is in one-level fatigue driving state；When described vehicle continuous operating time is more than or equal to the time
Threshold value, when VMT Vehicle-Miles of Travel reaches mileage threshold value, determines that described driver is in two grades of fatigue driving states.
If electromotor is in stopping i.e. flameout state, then it is assumed that driver is in resting state, if the time of having a rest reaches
To preset duration, then it is assumed that driver has obtained sufficient rest, just resets vehicle continuous operating time, and vehicle is again started up
Time, vehicle continuous operating time recalculates；If the time of having a rest is not reaching to preset duration, then it is assumed that driver does not obtain
Sufficiently having a rest, would not reset vehicle continuous operating time, when vehicle is again started up, vehicle continuous operating time was originally
On the basis of continue accumulative.
Preferably, described second determines that module 204 includes comparison module 204a, one-level fatigue module 204b, two grades of fatigues
Module 204c, non-tired module 204d；Wherein:
Comparison module, is used for utilizing described car speed and described vehicle continuous operating time to obtain VMT Vehicle-Miles of Travel,
Relatively described VMT Vehicle-Miles of Travel and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
Car speed can be average speed, it is also possible to be instantaneous velocity；If car speed is average speed V, vehicle
Continuous operating time is t；Then by S=V*t, it is thus achieved that VMT Vehicle-Miles of Travel S；If car speed is instantaneous velocity Vi, then byObtain VMT Vehicle-Miles of Travel S；Car speed can be obtained by velocity sensor detection, averages instantaneous velocity
Vehicle average speed within a period of time can be obtained；The revolution of wheel can also be carried out by VMT Vehicle-Miles of Travel by enumerator
Counting, is finally obtained by total revolution product of the girth of wheel with wheel, compares two parameters here, and first compares vehicle travels
Mileage S and mileage threshold value, second compares vehicle continuous operating time t and time threshold, respectively as two-stage fatigue driving state
Boundary.
One-level fatigue module 204b, for being more than or equal to time threshold, and vehicle at described vehicle continuous operating time
When distance travelled is less than mileage threshold value, determine that described driver is in one-level fatigue driving state；
Two grades of tired modules 204c, for being more than or equal to time threshold, and vehicle at described vehicle continuous operating time
When distance travelled reaches mileage threshold value, determine that described driver is in two grades of fatigue driving states；
Non-tired module 204d, for when described vehicle continuous operating time is less than time threshold, determining described driving
Member is in non-fatigue driving state.
First comparison module calls vehicle continuous operating time parameter, compares vehicle continuous operating time and time threshold,
As long as vehicle is in running status, this time will continue to increase, if vehicle continuous operating time is less than time threshold, then
Judge that driver is in non-fatigue driving state, and next round vehicle continuous operating time data are compared；When being accumulated to
The time threshold preset, determines the fatigue state grade of driver further according to VMT Vehicle-Miles of Travel；
If VMT Vehicle-Miles of Travel is less than mileage threshold value, determine that described driver is in one-level fatigue driving state, trigger
First-level instruction module；And next mileage is compared；If VMT Vehicle-Miles of Travel is more than or equal to mileage threshold value, then touch
Send out second and determine module, determine that driver is in two grades of fatigue state grades.
First judge first from vehicle continuous operating time, such as when vehicle continuous operating time reach 4 little time
More than (time threshold is 4 hours, is certainly also not necessarily limited to a value, it is also possible to be a time period), then assert that driver is in
Fatigue driving state, carries out secondary judgement further, if continuous 4 hourly average speed per hours are relatively low, VMT Vehicle-Miles of Travel does not reaches
Mileage threshold value, then it is assumed that driver is currently at one-level fatigue driving state, needs to point out driver to have a rest, and cloud server leads to
Cross first-level instruction module and send alarm command to intelligent mobile terminal；If continuous 4 hours run at high speed, such as speed per hour is public 120
In/hour more than, mileage reaches 500 kilometers (mileage threshold values), if now electromotor is also in running status, then assert driver
It is currently at two grades of fatigue driving states, needs to force engine misses；Cloud server passes through two grades of instruction modules to intelligence
Board units sends flame-out control instruction.
If now electromotor is in halted state, then judge the dwell time of transmitter, if the time that electromotor has stopped
More than preset duration, it is believed that driver has obtained time enough rest, then vehicle continuous operating time and continuously drive mileage
Reset, if the time stopped is less than preset duration, it is believed that driver does not obtain time enough and has a rest, then continue cumulative
Vehicle continuous operating time and continuously drive mileage, and determine that when electromotor runs again described driver is in two grades of fatigues
Driving condition, cloud server sends flame-out control instruction by two grades of instruction modules to intelligent vehicle-carried unit, forces electromotor
Flame-out.
Can also judge that fatigue driving state is determined by flow process by other: such as can first determine whether car speed,
When car speed reaches more than 120 kilometers/hour, then continuous operating time is monitored, if the time reaches more than 4 hours,
Electromotor also in duty, then assert that driver is in two grades of fatigue driving states, forces engine misses, allows driver
Have a rest；If car speed is less than 120 kilometers/hour, then continuous operating time is monitored, if the time reaches more than 4 hours,
Electromotor also in duty, then assert that driver is in one-level fatigue driving state, sends alarm command prompting driver
Have a rest；If engine continuous is in running order, then VMT Vehicle-Miles of Travel is monitored, such as, reach more than 800 kilometers, assert
Driver is in two grades of fatigue driving states, and electromotor also in duty, then assert that driver is in two grades of fatigue drivings
State, forces engine misses, allows driver have a rest.
Certainly also it is not exclusively by vehicle continuous operating time, car speed and engine operating state information are carried out point
Other idiographic flows that analysis judges.
Preferably, described instruction module 43 farther includes first-level instruction module 431 and two grades of instruction modules 432；Described
First-level instruction module 431, for when described driver is in one-level fatigue driving state, sends early warning to intelligent mobile terminal 3
Instruction；Described two grades of instruction modules 432 are for when described driver is in two grades of fatigue driving states；Then to intelligent vehicle-carried list
Unit 2 sends flame-out control instruction.
Seeing Fig. 1, in the embodiment of the present invention, driver fatigue monitor system includes information acquisition unit 1, intelligent vehicle-carried unit
2, intelligent mobile terminal 3, cloud server 4；Wherein, information acquisition unit 1 is installed onboard, is used for continuously generating and comprises vehicle
Continuous operating time, car speed and the data of engine operating state information；Information acquisition unit 1 and intelligent vehicle-carried unit 2
Between realize wireless telecommunications by bluetooth or WIFI module；
Intelligent vehicle-carried unit 2 has acquisition module 21, sending module 22, receiver module 23；Cloud server 4 possesses remotely
Receiving port 41, judge module 42 and instruction module 43；Wireless network is passed through between intelligent vehicle-carried unit 2 and cloud server 4
Or interface protocol carries out data transmission；
The status information that acquisition module 21 travels for collection vehicle, the status information that vehicle travels comprises vehicle and transports continuously
The information of row time, car speed and engine operating state can be specifically harvester, with default frequency collection Information Number
According to；
Sending module 22 comprises this vehicle continuous operating time, car speed for sending to cloud server 4 and starts
The information of machine running status；Remotely receiving port 41 comprises vehicle continuous operating time, car speed and electromotor for reception
The information of running status；Sending module 22 and long-range receiving port 41 can be regarded as data transmission interface；
Judge module 42 is for according to described vehicle continuous operating time, car speed and the letter of engine operating state
Breath, determines the fatigue driving state grade of driver；Instruction module 43 is used for and to intelligent mobile terminal 3 or intelligent vehicle-carried unit
2 send the instruction corresponding with the fatigue driving state grade of described driver；Receiver module 23 is for receiving and to intelligent vehicle-carried
Unit 2 transmits described instruction.
On the basis of above-described embodiment, driver fatigue monitor system includes display module and alarm module further；
Display module show the described vehicle continuous operating time mileage corresponding with car speed, engine operating state information and
Alarm command；Alarm module performs described alarm command.Display module and alarm module all can be integrated on intelligent vehicle-carried unit,
Or public with the display of onboard system or alarm, facilitate driver observe and reminded.
The foregoing is only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every at this
Under the inventive concept of invention, utilize the equivalent structure transformation that description of the invention and accompanying drawing content are made, or directly/indirectly use
The technical field relevant at other is included in the scope of patent protection of the present invention.
Claims (10)
1. a fatigue driving method for early warning, it is characterised in that comprise the following steps:
Receiving the status information of the vehicle traveling that intelligent vehicle-carried unit sends, the status information that described vehicle travels comprises vehicle even
Reforwarding row time, car speed and the information of engine operating state；
According to described vehicle continuous operating time, car speed and the information of engine operating state, determine the fatigue of driver
Driving condition grade；
Send corresponding with the fatigue driving state grade of described driver to intelligent mobile terminal or described intelligent vehicle-carried unit
Instruction.
2. fatigue driving method for early warning as claimed in claim 1, it is characterised in that described when running continuously according to described vehicle
Between, car speed and the information of engine operating state, determine that the step of the fatigue driving state grade of driver includes:
Information according to described engine operating state judges whether described electromotor is in running status；
If described electromotor is in running status, then determine described driving according to described vehicle continuous operating time and car speed
The fatigue driving state grade of member.
3. fatigue driving method for early warning as claimed in claim 2, it is characterised in that described when running continuously according to described vehicle
Between and car speed determine that the step of fatigue driving state grade of described driver includes:
Described car speed and described vehicle continuous operating time is utilized to obtain VMT Vehicle-Miles of Travel, in relatively described vehicle travels
Journey and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
When described vehicle continuous operating time is more than or equal to time threshold, and when VMT Vehicle-Miles of Travel is less than mileage threshold value, really
Fixed described driver is in one-level fatigue driving state；
When described vehicle continuous operating time is more than or equal to time threshold, and VMT Vehicle-Miles of Travel reaches mileage threshold value, determines institute
State driver and be in two grades of fatigue driving states；
When described vehicle continuous operating time is less than time threshold, it is determined that described driver is in non-fatigue driving state.
4. fatigue driving method for early warning as claimed in claim 2, it is characterised in that described when running continuously according to described vehicle
Between, car speed and the information of engine operating state, determine that the fatigue driving state grade of driver also includes:
If described electromotor is in non-operating state, then it is in the duration of non-operating state at described electromotor more than preset duration
Time, determine that described driver is in non-fatigue driving state, described vehicle continuous operating time is made zero.
5. the fatigue driving method for early warning as described in as described in Claims 1 to 4 is arbitrary, it is characterised in that described to intelligent mobile
Terminal or intelligent vehicle-carried unit send the step of the instruction corresponding with the fatigue driving state grade of described driver and include:
When described driver is in one-level fatigue driving state, then send alarm command to intelligent mobile terminal；
When described driver is in two grades of fatigue driving states, then send flame-out control instruction to intelligent vehicle-carried unit.
6. a cloud server, it is characterised in that including:
Remotely receiving port, the status information that the vehicle sent for receiving intelligent vehicle-carried unit travels, described vehicle travels
Status information comprises the information of vehicle continuous operating time, car speed and engine operating state；
Judge module, for according to described vehicle continuous operating time, car speed and the information of engine operating state, determines
The fatigue driving state grade of driver；
Described instruction module, for sending the fatigue driving shape with described driver to intelligent mobile terminal or intelligent vehicle-carried unit
The instruction that state grade is corresponding.
7. require the cloud server described in 6 according to profit, it is characterised in that described judge module includes:
First determines module, for judging whether described electromotor is in operation shape according to the information of described engine operating state
State；
Second determines module, for when described electromotor is in running status, according to described vehicle continuous operating time and car
Speed determines the fatigue driving state grade of described driver.
8. require the cloud server described in 7 according to profit, it is characterised in that described second determines that module includes:
Comparison module, is used for utilizing described car speed and described vehicle continuous operating time to obtain VMT Vehicle-Miles of Travel, compares
Described VMT Vehicle-Miles of Travel and mileage threshold value, and relatively described vehicle continuous operating time and time threshold；
One-level fatigue module, for being more than or equal to time threshold, and VMT Vehicle-Miles of Travel at described vehicle continuous operating time
During less than mileage threshold value, determine that described driver is in one-level fatigue driving state；
Two grades of tired modules, for being more than or equal to time threshold, and VMT Vehicle-Miles of Travel at described vehicle continuous operating time
Reach mileage threshold value, determine that described driver is in two grades of fatigue driving states；
Non-tired module, for when described vehicle continuous operating time is less than time threshold, determining that described driver is in non-
Fatigue driving state.
9. require the cloud server described in 7 according to profit, it is characterised in that described judge module farther includes:
3rd determines module, for being in non-operating state at described electromotor, and is in non-operating state at described electromotor
Duration more than preset duration time, determine that described driver is in non-fatigue driving state, by described vehicle continuous operating time
Zero.
10. require the cloud server described in 8 or 9 according to profit, it is characterised in that described instruction module includes:
Described first-level instruction module, for when described driver is in one-level fatigue driving state, sends out to intelligent mobile terminal
Send alarm command；
Described two grades of instruction modules, for when described driver is in two grades of fatigue driving states；Then to intelligent vehicle-carried unit
Send flame-out control instruction.
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| CN201610662978.3A CN106228755A (en) | 2016-08-12 | 2016-08-12 | Fatigue driving method for early warning and cloud server |
| PCT/CN2016/111539 WO2018028115A1 (en) | 2016-08-12 | 2016-12-22 | Fatigue driving early warning method and cloud server |
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| WO2018028115A1 (en) * | 2016-08-12 | 2018-02-15 | 深圳市元征科技股份有限公司 | Fatigue driving early warning method and cloud server |
| CN107226093A (en) * | 2017-05-19 | 2017-10-03 | 长安大学 | A kind of truck man fatigue driving determination methods |
| CN108022451A (en) * | 2017-12-06 | 2018-05-11 | 驾玉科技（上海）有限公司 | A kind of driver status early warning based on high in the clouds reports and dissemination system |
| CN108312964A (en) * | 2018-03-21 | 2018-07-24 | 华南理工大学 | A kind of fatigue driving state identification early warning system and method |
| CN110493296A (en) * | 2018-05-15 | 2019-11-22 | 上海博泰悦臻网络技术服务有限公司 | Fatigue drive prompting method and cloud server |
| CN109572704A (en) * | 2018-12-04 | 2019-04-05 | 青岛真时科技有限公司 | A kind of based reminding method and device of fatigue driving |
| CN112319482A (en) * | 2019-08-01 | 2021-02-05 | 上海擎感智能科技有限公司 | Vehicle, fatigue driving early warning method, system, medium and vehicle-mounted terminal thereof |
| CN110466495A (en) * | 2019-09-02 | 2019-11-19 | 浙江鸿吉智能控制有限公司 | A kind of intelligence automatic vectorization drives execution system and control method |
| CN110466495B (en) * | 2019-09-02 | 2024-04-09 | 浙江鸿吉智能控制有限公司 | Intelligent automatic vector driving execution system and control method |
| CN111322143B (en) * | 2020-02-26 | 2021-08-20 | 潍柴动力股份有限公司 | Diagnosis method of diesel engine particle trap, cloud server and vehicle-mounted terminal |
| CN111322143A (en) * | 2020-02-26 | 2020-06-23 | 潍柴动力股份有限公司 | Diagnosis method of diesel engine particle trap, cloud server and vehicle-mounted terminal |
| CN111696313A (en) * | 2020-05-25 | 2020-09-22 | 一汽奔腾轿车有限公司 | Driver attention reminding system and design method |
| CN111899517A (en) * | 2020-06-24 | 2020-11-06 | 浙江浩腾电子科技股份有限公司 | Expressway fatigue driving illegal behavior determination method |
| CN111866115A (en) * | 2020-07-14 | 2020-10-30 | 杭州卡欧科技有限公司 | Driving safety assisting method |
| CN111930098A (en) * | 2020-07-28 | 2020-11-13 | 上海元城汽车技术有限公司 | Vehicle monitoring frequency diagnosis method and system |
| CN112141119A (en) * | 2020-09-23 | 2020-12-29 | 上海商汤临港智能科技有限公司 | Intelligent driving control method and device, vehicle, electronic equipment and storage medium |
| CN112141119B (en) * | 2020-09-23 | 2022-03-11 | 上海商汤临港智能科技有限公司 | Intelligent driving control method and device, vehicle, electronic equipment and storage medium |
| CN113159513A (en) * | 2021-03-22 | 2021-07-23 | 广州宸祺出行科技有限公司 | Method and device for judging physical and mental states of driver based on driving behaviors |
| CN113159513B (en) * | 2021-03-22 | 2024-05-31 | 广州宸祺出行科技有限公司 | Driver physical and mental state judging method and device based on driving behaviors |
| CN113421001A (en) * | 2021-06-30 | 2021-09-21 | 中国航空油料有限责任公司 | Method and device for determining fatigue degree of oiler, electronic equipment and medium |
| CN113525028A (en) * | 2021-07-09 | 2021-10-22 | 珠海格力电器股份有限公司 | Automobile air conditioner control method, processor, storage medium and automobile air conditioner |
| CN116030595A (en) * | 2021-10-26 | 2023-04-28 | 上海擎感智能科技有限公司 | Fatigue driving warning method, device and system |
| CN114140986A (en) * | 2021-11-23 | 2022-03-04 | 奇瑞汽车股份有限公司 | Fatigue driving early warning method, system and storage medium |
| CN114132331A (en) * | 2021-12-31 | 2022-03-04 | 阿维塔科技(重庆)有限公司 | Driver state information confirmation method, driver state information confirmation device and computer-readable storage medium |
| CN114132331B (en) * | 2021-12-31 | 2024-05-14 | 阿维塔科技(重庆)有限公司 | Driver status information confirmation method, device and computer readable storage medium |
| CN116092267A (en) * | 2023-01-29 | 2023-05-09 | 浙江吉利控股集团有限公司 | Vehicle fatigue driving reminding method, device, equipment and storage medium |
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