CN105336105B - A kind of method of preventing fatigue driving, smart machine and system - Google Patents
A kind of method of preventing fatigue driving, smart machine and system Download PDFInfo
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- CN105336105B CN105336105B CN201510851114.1A CN201510851114A CN105336105B CN 105336105 B CN105336105 B CN 105336105B CN 201510851114 A CN201510851114 A CN 201510851114A CN 105336105 B CN105336105 B CN 105336105B
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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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Abstract
The present invention provides a kind of method of preventing fatigue driving, smart machine and system, the invention not only human bodies physiologic information such as face state, electroencephalogram by acquiring driver, external driving-environment information also by acquiring driver, comprehensive analysis is recorded by the history fatigue driving of driver again, obtain the synthesis fatigue driving degree of driver, when equipment and system discovery driver are in fatigue state, local alarm is not only carried out, is also alarmed driver household or law-executor.The present invention obtains the precision higher of driver fatigue state, does not alarm only local after fatigue driving, also carries out remote alarms, by alarm information pushing to driver household or law-executor, it is desirable that driver, which is stopped, to rest；Big data analysis can also be carried out, effectively predicts the possibility of driver's future fatigue driving.
Description
Technical field
The present invention relates to the vehicle technology field of preventing fatigue driving, particularly a kind of method of preventing fatigue driving, intelligence
It can equipment and system.
Background technology
Fatigue driving refers to that driver after continuous driving for a long time, generates the imbalance of physiological function and mental function, from
And objectively there is the phenomenon that driving efficiency decline.Continue to drive a car after fatigue, can feel sleepy drowsiness, weakness of limbs,
Absent minded, judgement declines or even occurs the memory of absent-minded or moment and disappears, and appearance action is delayed or too early,
The insecurity such as operation pauses or the correction time is improper, easily occur road traffic accident, therefore, forbid to drive vehicle after fatigue
.
Occurs the device for being directed to driver fatigue on a small quantity on the market at present, but these devices only solve surface and ask
Topic, does not bring the technological improvement on practical significance.Such as the patent No.：201010247811.3 it discloses a kind of based on pattern-recognition
Vehicle anti-fatigue driving intelligent steering wheel, the invention by identifying the degree of fatigue of driver to the rotation posture of steering wheel,
But in general, for driver in driver behavior, the rotation of steering wheel is likely to be inertia operation, therefore, simple detection side
There is limitation to the rotation posture of disk；The patent No.：201520360189.5 disclose a kind of intelligent device for resisting fatigue driving, the hair
Bright to judge fatigue state by acquiring the information of steering wheel, the information limitation of steering wheel is too big, can not realize accurate judgement.
The patent No.：201310253756.2 disclosing anti-fatigue driving intelligent detector, which acquires driver by camera
Face state change, according to the different conditions of face when fatigue state and normal condition come judge driver whether in fatigue
Driving condition；However these physiologic informations such as the face state of driver, electroencephalogram judge fatigue state, have very big office
It is sex-limited；The patent No.：201510130556.7 it discloses a kind of anti-fatigue driving intelligent headrest and its control method, the invention passes through
Headrest acquisition driver's eeg signal simultaneously analyzes data to judge fatigue state；
The above-described prior art be all by acquire the steering wheel rotation information of automobile or the face state of driver,
The physiologic informations such as electroencephalogram judge fatigue state, this has limitation.The rotation information of steering wheel and the driving of driver are practised
It is used related, also there are much relations with traffic route, road conditions and external environment, the physiology such as the face state of driver, electroencephalogram
Although information is compared with that can accurately react his fatigue state, accurate not enough.It is proposed that technology not only acquire driver
Face state, the human bodies physiologic information such as electroencephalogram, but also driving environment outside detection driver, such as cockpit in real time
A variety of external informations such as interior temperature and humidity, brightness, driving vision front scene, the road conditions of GPS/ Big Dipper positioning acquisitions are right
The physiologic information of driver and the external information of driving environment are carried out at the same time comprehensive data analysis, more can accurately obtain driver's
Fatigue state.
After fatigue generates, the prior art is alarmed in itself driver by equipment, but driver is entering
When fatigue driving, I feels that the subjective ability of parking rest is poor, most of to have stronger idea of leaving things to chance, institute
With even if equipment alarms to it, they can also ignore to alarm, continue to drive, it is easy to traffic accident is generated, we
The technology of proposition can not only carry out local alarm, if driver continues to travel, system will to driver household or nearby
Traffic administration person alarms, they can effectively avoid driver from continuing to travel with remote call-in driver.
Further, the prior art is only monitored and reminds to the situation of current driver's, can not accomplish to driver
The historical analysis of driving habit because the driving habit of driver is helpful to fatigue analysis degree, one often carry out it is tired
Please the people sailed is higher than the people of never fatigue driving in the following possibility for carrying out fatigue driving, it is proposed that technology into
Row big data analysis carries out statistics and analysis to the fatigue driving historical record of driver, effectively predicts that driver's future carries out
Then the possibility of fatigue driving carries out Driving Decision-making guidance and suggestion.
Invention content
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of method of preventing fatigue driving, intelligence to set
Standby and system, this application not only acquire the human bodies physiologic informations such as the face state of driver, electroencephalogram, believe herein in connection with external environment
Breath and history fatigue driving data carry out comprehensive analysis, and accuracy is high, does not alarm only local after fatigue driving, is also remotely reported
It is alert, by alarm information pushing to driver household or law-executor, it is desirable that driver, which is stopped, to rest；Big data analysis can also be carried out,
The effectively possibility of prediction driver's future fatigue driving.
The purpose of the present invention is achieved through the following technical solutions：A kind of method of preventing fatigue driving, this method
Applied on the smart machine of preventing fatigue driving, the onboard system of preventing fatigue driving is used to carry the smart machine described
It applies, the described method comprises the following steps on onboard system：
A, smart machine acquires the personal data information of driver in real time, and collected data information is uploaded to respectively
Individual mobile terminal and Cloud Server, driver are passed through by individual mobile terminal real time inspection related data information, authorized person
Authorized person's mobile terminal and Cloud Server data interchange, so as to check the related data information of driver；
B, smart machine or Cloud Server are analyzed and are handled to collected personal data information, and pass through tired calculation
Whether method judgement driver is in fatigue driving state；
C, when judgement driver be in fatigue driving state, then pass through the LED light of smart machine, vibrator and alarm
Device is alarmed；
If d, the warning message of smart machine continues setting time value, and does not eliminate, then warning message is uploaded into cloud clothes
Business device sends warning message, authorized person's movement to individual mobile terminal and authorized person's mobile terminal respectively from Cloud Server
Terminal includes driver household's mobile terminal of driver's Unsolicited Grant and law-executor's mobile terminal；
E, driver household or law-executor's remote call-in driver, which are stopped, rests；
F, at interval of set period of time, Cloud Server acquires driving data information of the driver within the period, goes forward side by side
Row big data analysis, predicts the driving behavior of driver and behavior guiding.
Further, in stepb, the tired algorithm of driver is included the following steps：
B1, acquisition driver travel forward image data information, GPS or Beidou positioning information, ambient light data information
And drive indoor environment temperature and ambient humidity data information；
B2, acquisition driver's brain wave data information, face activity data information and head pose data information；
B3, forward image data information, GPS or Beidou positioning information, ambient light data letter are travelled to driver respectively
Temperature and humidity data information in breath and cockpit carries out data analysis, obtains the external environment degree of fatigue point of driver
Analysis as a result, again respectively to the brain wave data information of driver, face activity data information and head pose data information into
Row analysis, obtains the physiological environment degree of fatigue analysis result of driver；
B4, the history driving data of driver is analyzed and predicted, obtains the history driving data analysis of driver
As a result；
The physiological environment degree of fatigue analysis of b5, the external environment degree of fatigue analysis result of comprehensive driver, driver
As a result with the history driving data analysis result of driver, the synthesis driving fatigue data of driver are obtained.
Preferably, in step d, the warning message of smart machine continues setting time value, and when not eliminating, can also be by
Individual mobile terminal（70）Directly to authorized person's mobile terminal（80）Send warning message.
Preferably, when the physiological environment degree of fatigue that smart machine collects driver is more than to set threshold values, and driver
Ignore warning message persistently to drive, then the traveling road conditions of driver are positioned by GPS or the Big Dipper, if it is determined that road conditions risk is relatively low,
Then by a key park controller open stop caution light, slowly slow down after, automatic stopping.
A kind of smart machine of preventing fatigue driving, the smart machine are applied in the onboard system of preventing fatigue driving,
It includes microprocessor, memory, wireless communication module, wireless communication module, camera, brain wave sensor, light intensity sensing
Device, attitude transducer, touch sensor, temperature and moisture sensors, sensor package interface, audio-frequency module, vibrator, LED
Indicator light, power management module, rechargeable battery, wireless charging module and wired charging module；The microprocessor, for intelligence
Data analysis, processing and the control of energy equipment；The memory, for storing Various types of data information；The wireless communication module,
For with external mobile terminal realize data interaction, realize data interaction communication protocol include WiFi agreements, Bluetooth protocol,
Zigbee protocol and NFC protocol；The wireless communication module, for the long distance wireless data transmission of 2G/3G/4G/5G；It is described to take the photograph
As head, for acquiring the image data information in front of driver's seat；The brain wave sensor, for detecting the brain of driver
Wave data；The light intensity sensor, for detecting the light intensity signal of driver's eye-using environment；The attitude transducer, is used for
Detect the posture of driver head；The touch sensor, for detecting whether driver wears the equipment；The temperature and wet
Sensor is spent, for detecting the environment temperature of driver's cabin and ambient humidity；The sensor package interface, for extend grafting its
His various sensor assemblies；The audio-frequency module, for audio alarm；The vibrator is alarmed for shaking；The LED refers to
Show lamp, alarm for flickering；The rechargeable battery, for providing electric energy to the modules of smart machine；The wireless charging
Electric module carries out wireless charging using electromagentic resonance or electromagnetic induction technology；The wired charging module, using wired charging skill
Art charges；The signal end of the microprocessor senses respectively with camera, brain wave sensor, light intensity sensor, posture
Device, touch sensor, temperature and moisture sensors and sensor package interface signal end be connected, the signal end of microprocessor
Signal end also respectively with wireless communication module, wireless communication module, audio-frequency module, vibrator and LED light is connected, micro-
Processor is also connected with memory, and rechargeable battery provides electric energy, the wired charging module and wireless charging for above-mentioned each module
Electric module is connected respectively with rechargeable battery.
Preferably, locating module is further included, which includes GPS positioning chip and Big Dipper positioning chip.
A kind of onboard system of preventing fatigue driving, including smart machine, individual mobile terminal, Cloud Server and authorized person
Mobile terminal, the smart machine is set on spectacle-frame, and the direction of camera is consistent with the eyeglass vertical direction of spectacle-frame, intelligence
Energy equipment is connected by wireless network with individual mobile terminal and Cloud Server respectively, and Cloud Server passes through wireless network with authorizing
Person's mobile terminal is connected, and individual mobile terminal is also connected by mobile network with authorized person's mobile terminal.
Preferably, the smart machine outer surface is additionally provided with magnetic medium, and smart machine passes through magnetic medium or coupling type
Structure or bayonet type or paste medium are bonded together with spectacle-frame.
Preferably, the smart machine is set on the semicircle earphone bracket for being sleeved on head or frame in the earphone branch on ear
Frame.
Preferably, a key is further included to park controller, a key park controller by wireless network respectively with smart machine
And authorized person's mobile terminal is connected.
The beneficial effects of the invention are as follows：
（1）The present invention not only acquires the internal physiologicals information such as driver's face state, electroencephalogram, believes herein in connection with external environment
Breath and history fatigue driving data carry out comprehensive analysis, obtain the precision higher of driver fatigue state；
（2）The present invention not only can locally alarm, can also be by Cloud Server or driver personal mobile terminal to awarding
It weighs mobile terminal and carries out remote alarms, the household or law-executor of driver can call driver by warning message and be stopped not
Breath prevents driver from knowing that fatigue state also continues to happening for driving perfectly well；
（3）Cloud Server carries out big data analysis, carries out statistics and analysis to the historical data of driver tired driving, in advance
Survey the possibility of driver's future fatigue driving；
（4）When driver continues fatigue driving, the controller that can be parked by a key forces parking, and GPS is carried out before stopping
Or Big Dipper positioning, judge parking road conditions and parking ambient environmental conditions, parking passes through slow ramp to stop, and security performance is high；
（5）Equipped with wireless communication module, which includes various protocols, can support multiple extraneous mobile whole
End；
（6）Equipped with wireless charging module and wired charging module, a variety of charging modules are available, and property easy to use is more
It is high；
（7）Equipped with sensor package interface, the module of other various sensors of expansible grafting.
Description of the drawings
Fig. 1 is the smart machine structure diagram of the preventing fatigue driving of the embodiment of the present invention；
Fig. 2 is the structure diagram of the system of the preventing fatigue driving of the embodiment of the present invention；
Fig. 3 is the flow chart that comprehensive driving fatigue degree was analyzed and calculated to the embodiment of the present invention；
Fig. 4 is the flow chart that the embodiment of the present invention prevents driving fatigue alarm；
In figure, 10- microprocessors, 20- memories, 30- power management modules, 40- rechargeable batteries, 50- wireless communications
Module, 60- spectacle-frames, 70- individual mobile terminals, 80- authorized person's mobile terminals, 101- brain wave sensors, 102- postures pass
Sensor, 103- touch sensors, 104- cameras, 105- light intensity sensors, 106- temperature and moisture sensors, 107- positioning moulds
Block, 108- sensor package interfaces, 201- wireless communication modules, 202-LED indicator lights, 203- alarms, 204- vibrators,
205- audio-frequency modules, 401- wireless charging modules, 402- wired charging modules.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, the example is illustrated in the accompanying drawings, and description below is related to
During attached drawing, unless otherwise indicated, the same or similar element of digital representation in different attached drawings, institute in following exemplary embodiment
The embodiment method of description does not represent all embodiments consistent with the disclosure.On the contrary, they are only and such as appended power
It is described in detail in sharp claim, the example of the consistent device and method of some aspects of the disclosure.
It is the purpose for being only in description specific embodiment in the term that the disclosure uses, and is not intended to be limiting the disclosure.
" one kind " of singulative used in disclosure and the accompanying claims book, " described " and "the" are also intended to including majority
Form, unless context clearly shows that its meaning, it is also understood that term "and/or" used herein refer to and comprising
One or more associated examples go out any or all possible combination of project.
Embodiment 1：
A kind of method of preventing fatigue driving, as shown in figure 4, this method is applied to the smart machine of preventing fatigue driving
On, prevent the onboard system of tired driving and applied on the onboard system for carrying the smart machine, the method includes with
Lower step：
Step 1, smart machine acquire the personal data information of driver in real time, and by collected data information respectively on
Pass to individual mobile terminal 70 and Cloud Server 90, driver by 70 real time inspection related data information of individual mobile terminal,
Authorized person is by authorized person's mobile terminal 80 and 90 data interchange of Cloud Server, so as to check the related data information of driver；
Step 2, smart machine or Cloud Server are analyzed and are handled to collected personal data information, and are passed through tired
Whether labor algorithm judgement driver is in fatigue driving state；
Step 3, when judgement driver be in fatigue driving state, then pass through the LED light of smart machine 202, shake
Device 204 and alarm 203 are alarmed；
If the warning message of step 4, smart machine continues setting time value, and does not eliminate, then warning message is uploaded to
Cloud Server 90, from Cloud Server 90 respectively to individual mobile terminal 70 and authorized person's mobile terminal 80 send warning message or
Warning message is directly sent to authorized person's mobile terminal 80 from individual mobile terminal 70, authorized person's mobile terminal 80 includes driving
Driver household's mobile terminal of the person's of sailing Unsolicited Grant and law-executor's mobile terminal；
Step 5, driver household or law-executor's remote call-in driver, which are stopped, to rest；
Step 6, at interval of set period of time, Cloud Server 90 acquires driving data letter of the driver within the period
Breath, and carries out big data analysis, the driving behavior of driver is predicted and behavior guiding.
The present embodiment 1 not only acquires the internal physiologicals information such as face state, the electroencephalogram of driver, and also detection drives in real time
The various situations of member's environment, such as temperature, humidity, brightness, scene, the road conditions of GPS and Big Dipper positioning acquisition in front of driving vision
Etc. a variety of external informations, the external information of internal information and driving environment to driver is carried out at the same time comprehensive data analysis, more
The fatigue state of driver can accurately be obtained.
Embodiment 2：
The present embodiment is on the basis of embodiment 1, as shown in figure 3, the step of adding fatigue exponent comprehensive analysis, tool
Body is as follows：
Step b1, acquisition driver travels forward image data information, GPS or Beidou positioning information, ambient light data
Information and driving indoor environment temperature and ambient humidity data information；
Step b2, acquisition driver's brain wave data information, face activity data information and head pose data information；
Step b3, forward image data information, GPS or Beidou positioning information, ambient light line number are travelled to driver respectively
It is believed that breath and temperature and humidity data information carry out data analysis, the external environment degree of fatigue analysis knot of driver is obtained
Fruit, then the brain wave data information of driver, face activity data information and head pose data information are divided respectively
Analysis, obtains the physiological environment degree of fatigue analysis result of driver；
Step b4, the history driving data of driver is analyzed and predicted, obtains the history driving data of driver
Analysis result；
Step b5, the external environment degree of fatigue analysis result of comprehensive driver, the physiological environment degree of fatigue of driver
Analysis result and the history driving data analysis result of driver, obtain the synthesis driving fatigue data of driver.
The present embodiment proposes the analysis determination method of comprehensive driving fatigue degree, by the environmental parameter around driver and can
Change factor, including forward image data information, GPS or the Big Dipper positioning obtain traffic information, ambient light data information and
Drive the data information of indoor environment temperature and ambient humidity, then by these external environmental informations and the brain wave data of driver
Information, face activity data information and head pose data information combine, and with history driving fatigue degree comprehensive analysis
Obtain synthesis eye fatigue numerical value, the analysis determination method of this driving fatigue degree, than traditional only for external environment item
Part analyze reliable, much more accurate.
Embodiment 3：
The present embodiment and above-described embodiment the difference lies in, after driver receives fatigue driving warning message,
Continue set period of time still not parking rest when or when smart machine collect driver physiological environment degree of fatigue be more than set
Determine threshold values, and driver ignores warning message and persistently drives, then the traveling road conditions of driver are positioned by GPS or the Big Dipper, if sentencing
It is relatively low to determine road conditions risk, then by a key park controller open stop caution light, slowly slow down after, automatic stopping.
This method, which has, forces parking function, and driver's parking can be forced to rest, but enables under the automobile stopping run at high speed
Come, there is certain risk, this method positions the traffic information of current driving by GPS or the Big Dipper, if it is determined that current road conditions
Parking risk it is relatively low, then parked controller automatic stopping by a key, it is safe.
Embodiment 4：
The present embodiment proposes a kind of smart machine of preventing fatigue driving, as shown in Figure 1, the smart machine is applied in advance
In the onboard system of anti-fatigue-driving, including microprocessor 10, memory 20, wireless communication module 50, wireless communication module
201st, camera 104, brain wave sensor 101, light intensity sensor 105, attitude transducer 102, touch sensor 103, temperature
With humidity sensor 106, sensor package interface 108, audio-frequency module 205, vibrator 204, LED light 202, power management
Module 30, rechargeable battery 40, wireless charging module 401 and wired charging module 402；The microprocessor 10, for intelligence
Data analysis, processing and the control of equipment；The memory 20, for storing Various types of data information；The wireless communication module
50, for realizing data interaction with external mobile terminal, realize that the communication protocol of data interaction includes WiFi agreements, bluetooth is assisted
View, Zigbee protocol and NFC protocol；The wireless communication module 201, for the long distance wireless data transmission of 2G/3G/4G/5G；
The camera 104, for acquiring the image data information in front of driver's seat；The brain wave sensor 101, for examining
Survey the brain wave data of driver；The light intensity sensor 105, for detecting the light intensity signal of driver's eye-using environment；It is described
Attitude transducer 102, for detecting the posture of driver head；The touch sensor 103, for detecting whether driver wears
Wear the equipment；The temperature and moisture sensors 106, for detecting the environment temperature of driver's cabin and ambient humidity；The sensing
Device card i/f 108, for extending grafting other various sensor assemblies；The audio-frequency module 205, for audio alarm；Institute
Vibrator 204 is stated, is alarmed for shaking；The LED light 202 is alarmed for flickering；The rechargeable battery 40, is used for
Electric energy is provided to the modules of smart machine；The wireless charging module 401, using electromagentic resonance or electromagnetic induction technology into
Row wireless charging；The wired charging module 402, is charged using wired charging technology；The signal of the microprocessor 10
End respectively with camera 104, brain wave sensor 101, light intensity sensor 105, attitude transducer 102, touch sensor 103,
The signal end of temperature and moisture sensors 106 and sensor package interface 108 is connected, and the signal end of microprocessor 10 is also distinguished
With the signal of wireless communication module 50, wireless communication module 201, audio-frequency module 205, vibrator 204 and LED light 202
End is connected, and microprocessor 10 is also connected with memory 20, and rechargeable battery 40 provides electric energy for above-mentioned each module, described to have micro USB
Electric module 402 and wireless charging module 401 are connected respectively with rechargeable battery 40.
Smart machine that the present embodiment proposes built-in multiple sensors and function module, it is current to detect driver in real time
Driving-environment information and detection driver's current physiology information, while this smart machine is additionally provided with sensor package and connects in real time
Mouth 108, other various sensor assemblies of expansible grafting, such as alcohol detection sensor.
The smart machine that the present embodiment proposes further includes a variety of charge modes, including wireless charging technology and traditional wired
Charging technique, charging modes are various, the convenience higher brought, and the wireless charging described in the present embodiment is utilizes electromagnetism
Resonance or electromagnetic induction technology carry out wireless charging, can more easily charge to the smart machine.
Embodiment 5：
The difference lies in the present embodiment is taken based on above-mentioned several embodiments to the present embodiment with above-mentioned each embodiment
The system built up is moved as shown in Fig. 2, the system includes smart machine, individual mobile terminal 70, Cloud Server 90 and authorized person
Dynamic terminal 80, the smart machine are set on spectacle-frame 60, and the direction of camera 104 and the eyeglass vertical direction of spectacle-frame 60
Unanimously, smart machine is connected by wireless network with individual mobile terminal 70 and Cloud Server 90 respectively, and Cloud Server 90 passes through
Wireless network is connected with authorized person's mobile terminal 80, and individual mobile terminal 70 also passes through mobile network and authorized person's mobile terminal 80
It is connected.
The equipment effect of traditional prevention driving fatigue is all too poor, is all after fatigue generates, by equipment in itself to driving
The person of sailing alarms, but driver, when fatigue driving is entered, I feels that the subjective ability of parking rest is poor, big portion
Dividing has stronger idea of leaving things to chance, so even if equipment alarms to it, they can also ignore, and continue to drive, this
Sample is easy to generate traffic accident.The system that the present embodiment proposes can not only carry out local alarm, can also carry out remote alarms, intelligence
The information of driver is pushed to Cloud Server 90 by energy equipment, and Cloud Server 90 gives alarm information pushing to authorized person's mobile terminal
80 or warning message, authorized person's mobile terminal 80 are directly sent to authorized person's mobile terminal 80 from individual mobile terminal 70
The law-executor of household or traffic monitoring department including driver are rested by its driver requested parking of their remote call-ins, by
In driver to household, particularly the law-executor of traffic monitoring department is more obedient to, so other people early warning calling
The driving behavior of driver can be timely and effectively adjusted, substantially reduces the possibility that driver continues fatigue driving.
Embodiment 6：
The difference lies in the present embodiment has the shape of multiple smart machines to the present embodiment with above-mentioned each embodiment
Design structure, the smart machine may be designed to be sleeved on the semicircle earphone bracket structure on head or such as bluetooth headset frame in ear
Earphone bracket structure on piece, the smart machine can also be combined with spectacle-frame, on spectacle-frame or pass through magnetic medium, hang
Hook-type structure, bayonet type or paste medium and spectacle-frame 60 are bonded together.
A variety of smart machine contour structures provided in this embodiment, it is convenient and practical convenient for the diversification selection of driver.
Embodiment 7：
The present embodiment difference from other examples are, the present embodiment also proposed a key and park controller, should
One key parks controller by the limitation of the fixed point of the fuel tank to automobile and engine, can realize and slowly slow down or even finally stop
The function of vehicle, the function is under the cooperation of GPS or Beidou positioning module, and safety higher, practicability is stronger, can force driver
Parking rest.
Embodiment described above only expresses the specific embodiment of the present invention, and description is more specific and detailed, but simultaneously
Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect range.
Claims (10)
- A kind of 1. method of preventing fatigue driving, which is characterized in that this method is applied on the smart machine of preventing fatigue driving, Prevent the onboard system of tired driving to apply on the onboard system for carrying the smart machine, the method includes following steps Suddenly：A, smart machine acquires the personal data information of driver in real time, which includes external environmental information, interior Portion's physiologic information and history driving data, and collected personal data information is uploaded into individual mobile terminal (70) respectively With Cloud Server (90), driver is passed through by individual mobile terminal (70) real time inspection correlation personal data information, authorized person Authorized person's mobile terminal (80) and Cloud Server (90) data interchange, so as to check the related personal data information of driver；B, smart machine or Cloud Server are analyzed and are handled to collected personal data information, and are passed through tired algorithm and sentenced Whether driver is determined in fatigue driving state；C, when judgement driver be in fatigue driving state, then pass through the LED light of smart machine (202), vibrator (204) It alarms with alarm (203)；If d, the alarm condition of smart machine continues setting time value, and does not eliminate, then the information of above-mentioned alarm condition is uploaded To Cloud Server (90), report is sent to individual mobile terminal (70) and authorized person's mobile terminal (80) from Cloud Server (90) respectively Alert information, authorized person's mobile terminal (80) are moved including driver household's mobile terminal of driver's Unsolicited Grant and law-executor Dynamic terminal；Wherein, in stepb, the tired algorithm of driver is included the following steps：B1, the external environmental information for acquiring driver, including traveling forward image data information, GPS or Beidou positioning information, ring Border light data information and driving indoor environment temperature and ambient humidity data information；B2, the internal physiological information for acquiring driver, including brain wave data information, face activity data information and head pose Data information；B3, driver is travelled respectively forward image data information, GPS or Beidou positioning information, ambient light data information with And indoor environment temperature and the progress data analysis of ambient humidity data information are driven, obtain the external environment degree of fatigue of driver Analysis result, then respectively to the brain wave data information of driver, face activity data information and head pose data information It is analyzed, obtains the physiological environment degree of fatigue analysis result of driver；B4, the history driving data of driver is analyzed and predicted, obtains the history driving data analysis result of driver；B5, external environment degree of fatigue analysis result, the physiological environment degree of fatigue analysis result of driver of comprehensive driver With the history driving data analysis result of driver, the synthesis driving fatigue data of driver are obtained.
- 2. a kind of method of preventing fatigue driving according to claim 1, further includes：E, at interval of set period of time, Cloud Server (90) acquires driving data information of the driver within the period, goes forward side by side Row big data analysis, predicts the driving behavior of driver and behavior guiding.
- 3. a kind of method of preventing fatigue driving according to claim 1, which is characterized in that in step d, smart machine Alarm condition continues setting time value, and when not eliminating, from individual mobile terminal (70) directly to authorized person's mobile terminal (80) Send warning message.
- 4. a kind of method of preventing fatigue driving according to claim 1, which is characterized in that when smart machine collects driving The physiological environment degree of fatigue of member is more than setting threshold values, and driver ignores alarm condition and persistently drives, then passes through GPS or the Big Dipper The traveling road conditions of driver are positioned, if it is determined that road conditions risk is relatively low, then stop caution light is opened by key controller of parking, delayed After slow deceleration one minute, automatic stopping.
- 5. a kind of smart machine for the preventing fatigue driving for implementing method described in claim 1, which is characterized in that the intelligence is set In the standby onboard system applied to preventing fatigue driving, including microprocessor (10), memory (20), wireless communication module (50), wireless communication module (201), camera (104), brain wave sensor (101), light intensity sensor (105), posture sensing Device (102), touch sensor (103), temperature and moisture sensors (106), sensor package interface (108), audio-frequency module (205), vibrator (204), LED light (202), power management module (30), rechargeable battery (40), wireless charging module (401) and wired charging module (402)；The microprocessor (10), for the data analysis, processing and control of smart machine；The memory (20), for storing Various types of data information；The wireless communication module (50) for realizing data interaction with external mobile terminal, realizes the communication of data interaction Agreement includes WiFi agreements, Bluetooth protocol, Zigbee protocol and NFC protocol；The wireless communication module (201), for the long distance wireless data transmission of 2G/3G/4G/5G；The camera (104), for acquiring the image data information in front of driver's seat；The brain wave sensor (101), for detecting the brain wave data of driver；The light intensity sensor (105), for detecting the light intensity signal of driver's eye-using environment；The attitude transducer (102), for detecting the posture of driver head；The touch sensor (103), for detecting whether driver wears the equipment；The temperature and moisture sensors (106), for detecting the environment temperature of driver's cabin and ambient humidity；The sensor package interface (108), for extending grafting other various sensor assemblies；The audio-frequency module (205), for audio alarm；The vibrator (204) is alarmed for shaking；The LED light (202) is alarmed for flickering；The rechargeable battery (40), for providing electric energy to the modules of smart machine；The wireless charging module (401) carries out wireless charging using electromagentic resonance or electromagnetic induction technology；The wired charging module (402), is charged using wired charging technology；The signal end of the microprocessor (10) respectively with camera (104), brain wave sensor (101), light intensity sensor (105), attitude transducer (102), touch sensor (103), temperature and moisture sensors (106) and sensor package interface (108) signal end is connected, the signal end of microprocessor (10) also respectively with wireless communication module (50), wireless communication module (201), the signal end of audio-frequency module (205), vibrator (204) and LED light (202) is connected, and microprocessor (10) is also It is connected with memory (20), rechargeable battery (40) provides electric energy, the wired charging module (402) and nothing for above-mentioned each module Line charging module (401) is connected respectively with rechargeable battery (40).
- 6. a kind of smart machine of preventing fatigue driving according to claim 5, which is characterized in that further include locating module (107), which includes GPS positioning chip and Big Dipper positioning chip.
- 7. a kind of onboard system of preventing fatigue driving, which is characterized in that including described in claim 5 smart machine, individual Mobile terminal (70), Cloud Server (90) and authorized person's mobile terminal (80), the smart machine are set on spectacle-frame (60), and The direction of camera (104) is consistent with the eyeglass vertical direction of spectacle-frame (60), smart machine by wireless network respectively with it is a People's mobile terminal (70) is connected with Cloud Server (90), and Cloud Server (90) passes through wireless network and authorized person's mobile terminal (80) It is connected, individual mobile terminal (70) is also connected by mobile network with authorized person's mobile terminal (80).
- A kind of 8. onboard system of preventing fatigue driving according to claim 7, which is characterized in that the smart machine appearance Face is additionally provided with magnetic medium, and smart machine is sticked by magnetic medium or coupling type structure or bayonet type or paste medium with spectacle-frame Knot is together.
- 9. a kind of onboard system of preventing fatigue driving according to claim 7, which is characterized in that the smart machine is set on Be sleeved on head semicircle earphone bracket or frame in the earphone bracket on ear.
- 10. a kind of onboard system of preventing fatigue driving according to claim 7, which is characterized in that further include a key and park Controller, key controller of parking are connected by wireless network with smart machine and authorized person's mobile terminal respectively.
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