CN205405812U - Driver fatigue early warning system based on thing networking - Google Patents
Driver fatigue early warning system based on thing networking Download PDFInfo
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- CN205405812U CN205405812U CN201620238927.3U CN201620238927U CN205405812U CN 205405812 U CN205405812 U CN 205405812U CN 201620238927 U CN201620238927 U CN 201620238927U CN 205405812 U CN205405812 U CN 205405812U
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Abstract
The utility model provides a driver fatigue early warning system based on thing networking, the utility model relates to a driver fatigue early warning system based on thing networking. The utility model discloses a still do not provide a problem of bringing the equipment of tired monitoring of going based on the E. E. G into in order to solve prior art. Does a driver fatigue early warning system based on thing networking include one piece at least solar energy power module (2), S3C 6410 controller (3), wireless voice alarm device (4), display screen prompting device (5), the tired monitor sensor (6) in E. E. G area, alcohol sensor (7), PM2.5 gas detector (8) and cap body (13), cap body (13) inlayer is arranged in to the tired monitor sensor (6) in E. E. G area, alcohol sensor (7) and PM2.5 gas detector (8). The utility model discloses be applied to tired detection area.
Description
Technical field
The utility model relates to driver fatigue monitor system based on Internet of Things.
Background technology
Along with the fast development of public transport cause, railway, the keen competition of highway transportation, automobile industry is to peace by bus
The requirement of full property is more and more higher.But modern society, automobile has got more and more, and the people of driving also gets more and more, driving peace
Entirely the most increasingly paid attention to by people.Having a lot of driver now is all a long-distance driving of people, hardly realizes that fatigue driving is very
Dangerous behavior.Various places often have the report of traffic accident to occur, mostly caused by tired driver is driven.Particularly save vacation
Period commuter rush hour of day.Statistics of traffic accidents analysis shows, along with development and the raising of speed, the traffic of transportation
Accident has become the serious problems that current various countries are faced, and driver tired driving be cause traffic accident major reason it
One.In order to prevent driver from fatigue driving occur, driver generally is educated to remind and drives by vehicle supervision department both domestic and external
The person of sailing is when driving fatigue, in order on your toes, it should stops and has a rest.But, the hand of education is depended merely in the prevention of driving fatigue
Duan Xiaoguo is limited, it is necessary to utilize the mechanism that the means analysis of science is tired.
At present, known anti-drowsy warning device mainly has two kinds, and one is that the frequency " blinked " by surveying people judges people
Whether sleepy, another kind is to arrange infrared ray at the head of people, is nodded by people or distinguishes to the behavior of side torticollis
The state of mind of people.Both devices all be sensor to detect the information near head part, but both devices have
By surveying people's frequency of wink, some shortcomings of oneself, judge that driver is the most sleepy, be not so accurate, special according to medical science
Family analyzes, people fatigue state and to be concentrated one's energy time, people is easy under eyes-open state sleeping, but warning device without
Report to the police;And it is arranged around infrared ray head part, and people is constrained in fixing scope, not meeting can not in international automobile design
The theory of constraint driver, the most this constraint can promote driver fatigue.To conventionally employed more vehicle-mounted than conventional supply module
Cigar lighter is powered, it is desirable to have connecting line.A kind of equipment carrying out fatigue monitoring based on E.E.G band is not the most proposed.
Summary of the invention
The purpose of this utility model does not the most propose a kind of to carry out fatigue monitoring based on E.E.G band to solve prior art
The problem of equipment, and a kind of driver fatigue monitor system based on Internet of Things is proposed.
Above-mentioned goal of the invention is achieved through the following technical solutions:
A kind of driver fatigue monitor system based on Internet of Things, it is characterised in that: it include at least one piece of solar powered module,
S3C-6410 controller, Wireless speech alarming device, display screen prompting device, E.E.G band fatigue monitoring sensor, alcohol pass
Sensor, PM2.5 detector and cap body;
Described E.E.G band fatigue monitoring sensor, alcohol sensor and PM2.5 detector are placed in cap body internal layer;
Described S3C-6410 controller connects solar powered module, Wireless speech alarming device and display screen prompting device respectively;
Solar powered module is used for as S3C-6410 controller, Wireless speech alarming device, display screen prompting device, E.E.G
Band fatigue monitoring sensor, alcohol sensor and PM2.5 detector are powered;
Described E.E.G band fatigue monitoring sensor is used for receiving car owner's brain β ripple frequency information and communicating this information to
S3C-6410 controller;
Described alcohol sensor is for receiving the information whether detection car owner drinks, and communicates this information to S3C-6410 control
Device processed;
Described PM2.5 detector is used for receiving the most normal information of gas in detection car, and communicates this information to
S3C-6410 controller;
Car owner's brain β ripple frequency information that described Wireless speech alarming device receives according to S3C-6410 controller, Che Zhushi
In the no information drunk and car, the most normal information of gas provides audio alert prompting;
Whether car owner's brain β ripple frequency information, car owner that described display screen prompting device receives according to S3C-6410 controller drink
In the information of wine and car, the most normal information of gas provides display screen prompting.
Invention effect
The utility model relates to a kind of change according to people's state of mind and causes the change of car owner's brain β ripple frequency information, when frequency
When rate is less than 13HZ, then it is considered as fatigue state;Driver's the most fatigue driving can be made in time early warning, trigger alarm
Driver is reminded to keep the device of the optimal state of mind,
One of four kinds of basic E.E.Gs of β ripple (β wave) people, i.e. frequency are the E.E.G of 13 40 hertz/sec.α is at brain
In the quiet and brain wave of resting state, frequency is 8-13HZ.β ripple is that brain is in the clear-headed brain electricity being with alertness
Ripple frequency be 14-30HZ, δ be sleep under brain wave, frequency is lower, wave amplitude is higher.
When alcohol content is more than 20mg/100ml, S3C-6410 controller can make a response and demonstrate on a display screen
" alcohol content exceeds standard!" printed words and picture and Wireless speech alarming device carry out voice message.Alcohol sensor is adopted
By MQ3 alcohol module, this module accuracy of detection is high, and alcohol can be made reaction rapidly, and whether detection car owner drinks in time
Wine, prevents car owner from driving when intoxicated, and greatly reduces owing to car owner drives when intoxicated caused traffic accident.
In PM2.5 gas detection module can detect car, gas is the most normal, as in car, smoking produces harmful substance, if super
Go out normal range (NR), then can automatic exhausting, provide a good driving environment for driver.The application of PM2.5 sensor takes
For traditional Smoke Sensor, the effective sensitivity improving detection, range of application is wider, can be that driver provides one
Individual good driving environment, it is ensured that the comfort level of driver, alleviates the fatigue state of driver.
Anti-fatigue-driving can effectively prevent because of fatigue driving generation traffic accident, it is well known that driver is to be difficult to judge
Oneself is the most tired, or if appropriate for driving, if fatigue driving, it would be possible to cause traffic accident, native system
E.E.G band fatigue monitoring sensor effectively solves this problem, because when S3C-6410 controller is opened, and Ke Yishi
Time monitoring driver's notice concentrate situation, prompting can be made when being in fatigue state.
The present invention uses solar powered module for power supply more energy-saving and environment friendly, and saves battery electric quantity on car, uses DSP
Embedded hardware, it is ensured that processing speed and stable, small and exquisite exquisiteness, because need not electric wire connection, can any putting position.
Solar powered module is pointed out with data collection station, controller, Wireless voice apparatus and display screen by bluetooth respectively
Device wireless connection.
Data collection station 1 seam is placed in cap body 13 internal layer, and is provided with between data collection station 1 and cap body 13 and draws
Chain.It is easy to dismounting and the cleaning of cap body 13.Cap body 13 internal layer seam puts one group for containing the Chinese medicine refreshed the mind
The cloth bag 14 of medicament.The Chinese medicine refreshed the mind include tealeaves, Moschus, borneol, storax, styrax, camphor, peppermint,
The capsule of weeping forsythia.Glove bodies 13 is provided with multiple ventilation mouth 15.Borneol has inducing resuscitation of having one's ideas straightened out, and heat-clearing dissipates poison, effect of removing nebula;
The fatigue conditions of driver can be alleviated, have the more preferable state of mind.Peppermint has antivirus action;Analgesia itching-relieving action;
Anti-irritant, bactericidal action;
Cap body 13 inner wall layer arranges an elastic hoop, so that the E.E.G band fatigue monitoring sensing of cap body 13 internal layer
Device 6 preferably contacts with driver head, and it is more accurate to measure.
A kind of driver fatigue monitor system based on Internet of Things includes that at least one piece of solar powered module, S3C-6410 control
Device, Wireless speech alarming device, display screen prompting device, E.E.G band fatigue monitoring sensor and cap body 13;By upper
State device and can monitor whether driver is in fatigue state in real time;Can be sent out by Wireless speech alarming device and display screen prompting device
Go out early warning signal.Additionally described E.E.G band fatigue monitoring sensor, alcohol sensor and PM2.5 detector is by indigo plant
Tooth and S3C-6410 controller wireless connection.Operation on driver affects little, and security is higher.In sum, the present invention
Provide and a kind of can automatically driver's the most fatigue driving be monitored and a kind of based on Internet of Things the fatigue of early warning
Drive early warning system.
Accompanying drawing explanation
Fig. 1 is the utility model installation drawing;
Fig. 2 is E.E.G band fatigue monitoring sensor device figure;
Fig. 3 is the cap body profile being provided with detection device;
Fig. 4 is cap body profile.
Detailed description of the invention
Detailed description of the invention one: combine Fig. 2,3 explanation present embodiments, a kind of fatigue driving of based on Internet of Things early warning system
System, it is characterised in that: it includes that at least one piece of solar powered module 2, S3C-6410 controller 3, wireless speech are reported to the police
Device 4, display screen prompting device 5, E.E.G band fatigue monitoring sensor 6, alcohol sensor 7, PM2.5 detector 8
With cap body 13;
Described E.E.G band fatigue monitoring sensor 6, alcohol sensor 7 and PM2.5 detector 8 are placed in cap body 13
Internal layer;
Described S3C-6410 controller 3 connects solar powered module 2, Wireless speech alarming device 4 and display screen respectively
Prompting device 5;
Solar powered module 2 for for S3C-6410 controller 3, Wireless speech alarming device 4, display screen prompting device 5,
E.E.G band fatigue monitoring sensor 6, alcohol sensor 7 and PM2.5 detector 8 are powered;
Described E.E.G band fatigue monitoring sensor 6 is used for receiving car owner's brain β ripple frequency information and communicating this information to
S3C-6410 controller 3;When frequency is less than 13HZ, then it is considered as fatigue state;
Described alcohol sensor 7 is for receiving the information whether detection car owner drinks, and communicates this information to S3C-6410
Controller 3;When alcohol content is more than 20mg/100ml, sensor can be made a response and demonstrate " wine on a display screen
Essence content overproof!" printed words and picture, if alcohol content does not exceed standard, then " alcohol content is normal, please input in display
Fingerprint " and picture.Alcohol sensor uses MQ3 alcohol module, and this module accuracy of detection is high, can make alcohol
Reaction rapidly, whether detection car owner drinks in time, prevents car owner from driving when intoxicated, greatly reduces and drawn owing to car owner drives when intoxicated
The traffic accident sent out.
Described PM2.5 detector 8 is used for receiving the most normal information of gas in detection car, and communicates this information to
S3C-6410 controller 3;
Car owner's brain β ripple frequency information that described Wireless speech alarming device 4 receives according to S3C-6410 controller 3, car
In the main information whether drunk and car, the most normal information of gas provides audio alert prompting;
Car owner's brain β ripple frequency information that described display screen prompting device 5 receives according to S3C-6410 controller 3, Che Zhushi
In the no information drunk and car, the most normal information of gas provides display screen prompting.
Described S3C-6410 controller 3 is bought for market.
Detailed description of the invention two: combining Fig. 2,3 explanation present embodiments, present embodiment is different from detailed description of the invention one
: described E.E.G band fatigue monitoring sensor 6 uses and wears brain wave fatigue monitoring sensor.
Other step and parameter are identical with detailed description of the invention one.
Detailed description of the invention three: combine Fig. 2,3 explanation present embodiments, present embodiment and detailed description of the invention one or two
Except for the difference that: described in wear brain wave fatigue monitoring sensor be that NeuroSky728 wears brain wave fatigue monitoring sensor.
Other step and parameter are identical with detailed description of the invention one or two.
Detailed description of the invention four: combine Fig. 1,3 explanation present embodiments, present embodiment and detailed description of the invention one to three
Unlike one of: described alcohol sensor 7 is MQ3 alcohol sensor 7.
Other step and parameter are identical with one of detailed description of the invention one to four.
Detailed description of the invention five: combine Fig. 1 and present embodiment, present embodiment and one of detailed description of the invention one to four are described
Except for the difference that: described Wireless speech alarming device 4 includes speech chip 9, wireless module 10, single-chip microcomputer 11 and buzzer
12, wherein, speech chip 9, wireless module 10 with buzzer 12 respectively corresponding interface with single-chip microcomputer 11 be connected.
Other step and parameter are identical with one of detailed description of the invention one to five.
Detailed description of the invention six: combine Fig. 1 and present embodiment, present embodiment and one of detailed description of the invention one to five are described
Except for the difference that: described solar powered module 2, S3C-6410 controller 3, Wireless speech alarming device 4 and display screen carry
Show that device 5 is positioned on automotive service platform.
Other step and parameter are identical with one of detailed description of the invention one to six.
Detailed description of the invention seven: combine Fig. 1 and present embodiment, present embodiment and one of detailed description of the invention one to six are described
Except for the difference that: described solar powered module 2 is 2 pieces.
Other step and parameter are identical with one of detailed description of the invention one to six.
Detailed description of the invention eight: combine Fig. 3,4 explanation present embodiments, present embodiment and detailed description of the invention one to seven
Unlike one of: described E.E.G band fatigue monitoring sensor 6, alcohol sensor 7 and PM2.5 detector 8 are respectively
It is provided with slide fastener between cap body 13.It is easy to dismounting and the cleaning of cap body 13.
Described data collection station 1 is placed in cap body 13 internal layer, and is provided with between data collection station 1 and cap body 13
Slide fastener.It is easy to dismounting and the cleaning of cap body 13.
Other step and parameter are identical with one of detailed description of the invention one to seven.
Detailed description of the invention nine: combine Fig. 3,4 explanation present embodiments, present embodiment and detailed description of the invention one to eight
Unlike one of: described cap body 13 internal layer seam puts one group for the cloth bag 14 containing the Chinese drugs agentia refreshed the mind;
The Chinese medicine refreshed the mind includes tealeaves, borneol, storax, styrax, camphor, peppermint or the capsule of weeping forsythia.
Described cap body 13 is provided with multiple ventilation mouth 15.
Other step and parameter are identical with one of detailed description of the invention one to eight.
Detailed description of the invention ten: combine Fig. 2,3,4 explanation present embodiment, present embodiment and detailed description of the invention one to
Unlike one of nine: described cap body 13 inner wall layer arranges an elastic hoop.So that cap body 13 internal layer
E.E.G band fatigue monitoring sensor 6 preferably contacts with driver head, and it is more accurate to measure.
Other step and parameter are identical with one of detailed description of the invention one to nine.
Claims (10)
1. a driver fatigue monitor system based on Internet of Things, it is characterised in that: it includes at least one piece of solar powered mould
Block (2), S3C-6410 controller (3), Wireless speech alarming device (4), display screen prompting device (5), E.E.G band
Fatigue monitoring sensor (6), alcohol sensor (7), PM2.5 detector (8) and cap body (13);
Described E.E.G band fatigue monitoring sensor (6), alcohol sensor (7) and PM2.5 detector (8) are placed in cap
Sub-main body (13) internal layer;
Described S3C-6410 controller 3 connects solar powered module (2), Wireless speech alarming device (4) respectively and shows
Display screen prompting device (5);
Solar powered module (2) is used for as S3C-6410 controller (3), Wireless speech alarming device (4), display
Screen prompting device (5), E.E.G band fatigue monitoring sensor (6), alcohol sensor (7) and PM2.5 detector (8)
Power supply;
Described E.E.G band fatigue monitoring sensor (6) is used for receiving car owner's brain β ripple frequency information and communicating this information to
S3C-6410 controller 3;
Described alcohol sensor (7) is for receiving the information whether detection car owner drinks, and communicates this information to S3C-6410
Controller (3);
Described PM2.5 detector (8) is used for receiving the most normal information of gas in detection car, and by this information transmission
To S3C-6410 controller (3);
Car owner's brain β ripple frequency information that described Wireless speech alarming device (4) receives according to S3C-6410 controller (3),
In information that whether car owner drinks and car, the most normal information of gas provides audio alert prompting;
Car owner's brain β ripple frequency information that described display screen prompting device (5) receives according to S3C-6410 controller (3), car
In the main information whether drunk and car, the most normal information of gas provides display screen prompting.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 1, it is characterised in that described brain
Wavestrip fatigue monitoring sensor (6) uses and wears brain wave fatigue monitoring sensor.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 2, it is characterised in that described head
Wearing brain wave fatigue monitoring sensor is that NeuroSky728 wears brain wave fatigue monitoring sensor.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 3, it is characterised in that described wine
Essence sensor (7) is MQ3 alcohol sensor.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 4, it is characterised in that described nothing
Line phonetic alarm device (4) includes speech chip (9), wireless module (10), single-chip microcomputer (11) and buzzer (12),
Wherein, speech chip (9), wireless module (10) and buzzer (12) respectively with the corresponding interface phase of single-chip microcomputer (11)
Connect.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 5, it is characterised in that described too
Sun energy supply module (2), S3C-6410 controller (3), Wireless speech alarming device (4) and display screen prompting device (5)
It is positioned on automotive service platform.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 6, it is characterised in that described too
Sun can supply module (2) be 2 pieces.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 7, it is characterised in that described brain
Wavestrip fatigue monitoring sensor (6), alcohol sensor (7) and PM2.5 detector (8) respectively with cap body (13)
Between be provided with slide fastener.
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 8, it is characterised in that described cap
Sub-main body (13) internal layer seam puts one group for the cloth bag (14) containing the Chinese drugs agentia refreshed the mind;Described cap body (13)
It is provided with multiple ventilation mouth (15).
A kind of driver fatigue monitor system based on Internet of Things the most according to claim 9, it is characterised in that described
Cap body (13) inner wall layer arranges an elastic hoop.
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CN201620238927.3U CN205405812U (en) | 2016-03-24 | 2016-03-24 | Driver fatigue early warning system based on thing networking |
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CN201620238927.3U CN205405812U (en) | 2016-03-24 | 2016-03-24 | Driver fatigue early warning system based on thing networking |
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CN201620238927.3U Expired - Fee Related CN205405812U (en) | 2016-03-24 | 2016-03-24 | Driver fatigue early warning system based on thing networking |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110833406A (en) * | 2019-12-24 | 2020-02-25 | 河南心视灵教育科技有限公司 | Method for regulating myopia through brain wave audio vibration |
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2016
- 2016-03-24 CN CN201620238927.3U patent/CN205405812U/en not_active Expired - Fee Related
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110833406A (en) * | 2019-12-24 | 2020-02-25 | 河南心视灵教育科技有限公司 | Method for regulating myopia through brain wave audio vibration |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhang Boyang Inventor after: Su Baolin Inventor after: Zhong Shengyang Inventor after: Fan Di Inventor after: Chang Xin Inventor after: Li Guoan Inventor before: Zhang Boyang Inventor before: Su Baolin |
|
COR | Change of bibliographic data | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160727 Termination date: 20170324 |
|
CF01 | Termination of patent right due to non-payment of annual fee |