CN202383802U - Acousto-optic warning system for truck fatigue driving - Google Patents

Acousto-optic warning system for truck fatigue driving Download PDF

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Publication number
CN202383802U
CN202383802U CN201120572059XU CN201120572059U CN202383802U CN 202383802 U CN202383802 U CN 202383802U CN 201120572059X U CN201120572059X U CN 201120572059XU CN 201120572059 U CN201120572059 U CN 201120572059U CN 202383802 U CN202383802 U CN 202383802U
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China
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driver
acousto
lorry
module
driving
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CN201120572059XU
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Chinese (zh)
Inventor
张广昕
邱兆文
王征
张思思
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长安大学
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Abstract

The utility model discloses an acousto-optic warning system for truck fatigue driving. The acousto-optic warning system comprises a driver physiological signal detection unit, a driver physiological reflect characteristic detection unit, a driver operation behavior detection unit and a truck driving track characteristic detection unit which are used for detecting driving states of a driver, and also comprises a data analyzing and processing unit and an acousto-optic warning unit, wherein the data analyzing and processing unit is used for analyzing and processing the driving states of the driver and judging the fatigue driving of the driver; and the acousto-optic warning unit is connected with the data analyzing and processing unit, is used for sending warning signals and comprises an acousto-optic warning instrument installed in a cab and four corner lamp installed outside a truck. The acousto-optic warning system is simple in structure, reasonable in design, convenient to use and operate, high in reliability and good in work stability and complete in function, can be used for simultaneously performing early warning on the driver and other vehicles travelling on a road, and is strong in practicability, good in using effect and convenient to popularize and use.

Description

Lorry fatigue driving acousto-optic warning system
Technical field
The utility model belongs to the intelligent transport technology field, especially relates to a kind of lorry fatigue driving acousto-optic warning system.
Background technology
Along with the fast development of communications and transportation cause, the continuous increase of vehicle guaranteeding organic quantity.Traffic hazard has become the serious problems that the whole world faces.Statistical data shows that the whole world reaches 600,000 because of the death toll that traffic hazard causes every year, about 12,500,000,000 dollars of direct economic loss, and 57% catastrophic failure is relevant with driver tired driving in these accidents.Though fatigue is a very normal physiological phenomenon, the annual traffic hazard that causes causes enormous economic loss and casualties to countries in the world, has increased factors leading to social instability.Therefore, the research to the fatigue driving warning system is of great practical significance.And only being aimed at automobile driver, present fatigue driving warning system carries out early warning; And other vehicles of travels down are not accomplished timely early warning; Remind the driver of other vehicles to note remaining a safe distance behind the car in front with the fatigue driving car; And fatigue driving warning system function of the prior art is perfect not enough, can't be comprehensive, situation that multi-angle in time detects driver tired driving.
The utility model content
The utility model technical matters to be solved is to above-mentioned deficiency of the prior art a kind of lorry fatigue driving acousto-optic warning system to be provided, and it is simple in structure; Reasonable in design, use simple operation, the reliability of work is high, good stability; Complete function can be simultaneously carries out early warning to other vehicles of driver and travels down, and is practical; Result of use is good, is convenient to promote the use of.
For solving the problems of the technologies described above; The technical scheme that the utility model adopts is: a kind of lorry fatigue driving acousto-optic warning system; It is characterized in that: comprise the driver's physiological signal detecting unit, the reflection of driver's physiology characteristic detection unit, driver's operation behavior detecting unit and the lorry driving trace characteristic detection unit that are used to detect driver's driving condition; Be used for driver's driving condition is carried out analyzing and processing, judges the data analysis processing unit of driver tired driving; And the acousto-optic warning unit that joins and be used to send warning signal with the data analysis processing unit; Said driver's physiological signal detecting unit, driver's physiology reflection characteristic detection unit, driver's operation behavior detecting unit and lorry driving trace characteristic detection unit are all joined with the data analysis processing unit, and said acousto-optic warning unit comprises acousto-optic alarm four corner lamps outer with being installed in the lorry car that are installed in the pilothouse.
Above-mentioned lorry fatigue driving acousto-optic warning system; It is characterized in that: first wireless data transceiver module and data-carrier store module and video signal collective module that is connected on the microprocessor module input end and collection of simulant signal module that said data analysis processing unit comprises microprocessor module, joins with microprocessor module, said acousto-optic alarm and four corner lamps are all joined with the output terminal of microprocessor module.
Above-mentioned lorry fatigue driving acousto-optic warning system; It is characterized in that: said driver's physiological signal detecting unit comprises and is used for the brain wave detector that the brain wave EEG to the driver detects that the input end of the output terminal of said brain wave detector and collection of simulant signal module joins.
Above-mentioned lorry fatigue driving acousto-optic warning system; It is characterized in that: said driver's physiology reflection characteristic detection unit comprises the camera that is used for taking in real time driver's facial image, the head position sensor that is used for the pupillometry meter that driver's ocular physiology reflection characteristic is detected and is used for driver's head position is detected; The input end of the output terminal of said camera and video signal collective module joins, and the output terminal of said pupillometry meter and head position sensor all joins with the input end of collection of simulant signal module.
Above-mentioned lorry fatigue driving acousto-optic warning system; It is characterized in that: said driver's operation behavior detecting unit comprises and is used for the angular displacement sensor that the rotation action to bearing circle detects that the input end of the output terminal of said angular displacement sensor and collection of simulant signal module joins.
Above-mentioned lorry fatigue driving acousto-optic warning system; It is characterized in that: said lorry driving trace characteristic detection unit comprises that being laid in both sides of highway is used for lorry is departed from center line of road go a plurality of infrared ray sensors that detect and second wireless data transceiver module of joining with a plurality of said infrared ray sensors, and said second wireless data transceiver module is with the first wireless data transceiver module wireless connections and communicate by letter.
Above-mentioned lorry fatigue driving acousto-optic warning system, it is characterized in that: said first wireless data transceiver module and second wireless data transceiver module are the GPRS module.
Above-mentioned lorry fatigue driving acousto-optic warning system is characterized in that: said microprocessor module is ARM microprocessor or DSP digital signal processor.
Above-mentioned lorry fatigue driving acousto-optic warning system is characterized in that: said four corner lamps are three and are installed in car body rear side, left side and right side respectively.
The utility model compared with prior art has the following advantages:
1, the utility model adopts integrated, modular design, and is simple in structure, reasonable in design, and it is convenient to realize.
2, the easy-to-connect of the utility model uses simple operation.
3, microprocessor module adopts ARM microprocessor or DSP digital signal processor in the utility model; Data processing speed is fast; Data-handling capacity is strong; Data according to driver's physiological signal detecting unit, driver's physiology reflection characteristic detection unit, driver's operation behavior detecting unit and lorry driving trace characteristic detection unit are exported can be judged the driver accurately and reliably whether just in fatigue driving, and the reliability of work is high, good stability.
4, the complete function of the utility model; Not only can remind driver safety to drive through acousto-optic alarm in the pilothouse; Can also remind other vehicle drivers to note maintaining safe distance through four outer corner lamps of lorry car simultaneously with the dangerous driving vehicle; Safe driving to reducing the generation of traffic hazard, promotes the sound development of communications and transportation cause to have important role.
5, the situation that the utility model ability is comprehensive, multi-angle in time detects driver tired driving, practical, improved the security that lorry goes, reduce the generation of traffic hazard, help to realize social stability, result of use is good, is convenient to promote the use of.
In sum, the utility model is simple in structure, and is reasonable in design, uses simple operation; High, the good stability of the reliability of work, complete function can be simultaneously carries out early warning to other vehicles of driver and travels down; Practical, result of use is good, is convenient to promote the use of.
Through accompanying drawing and embodiment, the technical scheme of the utility model is done further detailed description below.
Description of drawings
Fig. 1 is the schematic block circuit diagram of the utility model.
Description of reference numerals:
1-1-brain wave detector; The 2-1-camera; 2-2-pupillometry meter;
The 2-3-head position sensor; The 3-1-angular displacement sensor; The 4-1-infrared ray sensor;
4-2-second wireless data transceiver module; 5-data analysis processing unit;
The 5-1-microprocessor module; 5-2-first wireless data transceiver module;
5-3-video signal collective module; 5-4-collection of simulant signal module;
6-acousto-optic warning unit; 6-1-acousto-optic alarm; 6-2-four corner lamps.
Embodiment
As shown in Figure 1; The utility model comprises driver's physiological signal detecting unit, the reflection of driver's physiology characteristic detection unit, driver's operation behavior detecting unit and the lorry driving trace characteristic detection unit that is used to detect driver's driving condition; Be used for driver's driving condition is carried out analyzing and processing, judges the data analysis processing unit 5 of driver tired driving; And the acousto-optic warning unit 6 that joins and be used to send warning signal with data analysis processing unit 5; Said driver's physiological signal detecting unit, driver's physiology reflection characteristic detection unit, driver's operation behavior detecting unit and lorry driving trace characteristic detection unit are all joined with data analysis processing unit 5, and said acousto-optic warning unit 6 comprises the acousto-optic alarm 6-1 four corner lamp 6-2s outer with being installed in the lorry car that are installed in the pilothouse.
As shown in Figure 1; In the present embodiment; The first wireless data transceiver module 5-2 and data-carrier store module 5-5 and video signal collective module 5-3 that is connected on microprocessor module 5-1 input end and collection of simulant signal module 5-4 that said data analysis processing unit 5 comprises microprocessor module 5-1, joins with microprocessor module 5-1, said acousto-optic alarm 6-1 and four corner lamp 6-2 all join with the output terminal of microprocessor module 5-1.
As shown in Figure 1; In the present embodiment; Said driver's physiological signal detecting unit comprises and is used for the brain wave detector 1-1 that the brain wave EEG to the driver detects that the input end of the output terminal of said brain wave detector 1-1 and collection of simulant signal module 5-4 joins.The physical signs of driver under fatigue state can depart from the index of normal condition, therefore can judge whether the driver gets into fatigue state through driver's physical signs.Correlative study shows; The predominant rhythm of brain wave can reflect the fatigue strength of human body; The finder is when getting into fatigue state after deliberation; The delta ripple among the EEG signals EEG and the activity of theta ripple can increase substantially, and the activity of alpha ripple has and increases by a small margin, and therefore driver's physiological signal are detected the brain wave EEG that selects the driver and detect.
As shown in Figure 1; In the present embodiment; Said driver's physiology reflection characteristic detection unit comprises the camera 2-1 that is used for taking in real time driver's facial image, the head position sensor 2-3 that is used for the pupillometry meter 2-2 that driver's ocular physiology reflection characteristic is detected and is used for driver's head position is detected; The input end of the output terminal of said camera 2-1 and video signal collective module 5-3 joins, and the output terminal of said pupillometry meter 2-2 and head position sensor 2-3 all joins with the input end of collection of simulant signal module 5-4.The motion of driver's eyeball and nictation information be considered to reflect tired key character, nictation, amplitude, frequency of wink and average closure time all can directly be used for detecting tired.The people is when fatigue doze, and blinking of eyelid is generally more frequent, and the eyes closed time is also longer.Discover: the time of people's eyes closed reaches 0.5s as if the eyes closed time during driving and just is easy to occurrence of traffic accident between 0.2~0.3s generally speaking.The utility model adopts pupillometry meter 2-2 to measure the ocular physiology characteristic, and pupillometry meter 2-2 is a device of measuring the pupil change in size of eyes in real time, obtains and opens the parameter signal of closing one's eyes, and evaluates and tests fatigue strength according to the variation relation of pupil.Keep watch on driver's situation of head in the process of moving through head position sensor 2-3, utilize the variation characteristic of each time period head position, can judge the driver and whether doze off.
As shown in Figure 1; In the present embodiment; Said driver's operation behavior detecting unit comprises and is used for the angular displacement sensor 3-1 that the rotation action to bearing circle detects that the input end of the output terminal of said angular displacement sensor 3-1 and collection of simulant signal module 5-4 joins.Because when the driver feels fatigue; React slack-off, the action of direction of operating dish also can slow down, and therefore adopts angular displacement sensor 3-1 to detect the rotation action of bearing circle in real time; Continue to explain that the driver has been in fatigue driving state when motionless when detecting bearing circle.
As shown in Figure 1; In the present embodiment; Said lorry driving trace characteristic detection unit comprises that being laid in both sides of highway is used for lorry is departed from center line of road go a plurality of infrared ray sensor 4-1 that detect and the second wireless data transceiver module 4-2 that joins with a plurality of said infrared ray sensor 4-1, and the said second wireless data transceiver module 4-2 is with the first wireless data transceiver module 5-2 wireless connections and communicate by letter.When driver tired driving, because dispersion attention, slow in reacting, vehicle maybe run-off-road, therefore adopts infrared ray sensor 4-1 that lorry is departed from center line of road and goes and detect, and can judge the driver and whether be in fatigue driving state.
As shown in Figure 1, in the present embodiment, the said first wireless data transceiver module 5-2 and the second wireless data transceiver module 4-2 are the GPRS module.Said microprocessor module 5-1 is ARM microprocessor or DSP digital signal processor.Said four corner lamp 6-2 are three and are installed in car body rear side, left side and right side respectively.
The principle of work and the course of work of the utility model are: brain wave detector 1-1 detects driver's brain wave EEG in real time and detected signal is exported to collection of simulant signal module 5-4; Camera 2-1 takes driver's facial image in real time and taken vision signal is exported to video signal collective module 5-3; Pupillometry meter 2-2 detects driver's ocular physiology reflection characteristic in real time and detected signal is exported to collection of simulant signal module 5-4; Head position sensor 2-3 detects driver's head position in real time and detected signal is exported to collection of simulant signal module 5-4; Angular displacement sensor 3-1 detects the rotation action of bearing circle in real time and detected signal is exported to collection of simulant signal module 5-4; A plurality of infrared ray sensor 4-1 depart from center line of road to lorry and go and detect and detected signal is sent to microprocessor module 5-1 through the second wireless data transceiver module 4-2 and the first wireless data transceiver module 5-2; The data of microprocessor module 5-1 receiving video signals acquisition module 5-3, collection of simulant signal module 5-4 and first wireless data transceiver module 5-2 output are also carried out analyzing and processing, extraction and identification of driver fatigue characteristic information, complementary or redundant fatigue characteristic information are carried out data fusion data; And then whether fatigue driving is judged accurately and reliably to the driver to set up the fatigue driving intelligent decision model; When recognizing the driver just after fatigue driving; Connect acousto-optic alarm 6-1 and the outer four corner lamp 6-2 of lorry car in the pilothouse; To remind driver safety to drive and to remind other vehicle drivers to note maintaining safe distance safe driving with the dangerous driving vehicle.
The above; It only is the preferred embodiment of the utility model; Be not that the utility model is done any restriction; Everyly any simple modification that above embodiment did, change and equivalent structure are changed, all still belong in the protection domain of the utility model technical scheme according to the utility model technical spirit.

Claims (9)

1. lorry fatigue driving acousto-optic warning system; It is characterized in that: comprise the driver's physiological signal detecting unit, the reflection of driver's physiology characteristic detection unit, driver's operation behavior detecting unit and the lorry driving trace characteristic detection unit that are used to detect driver's driving condition; Be used for driver's driving condition is carried out analyzing and processing, judges the data analysis processing unit (5) of driver tired driving; And the acousto-optic warning unit (6) that joins and be used to send warning signal with data analysis processing unit (5); Said driver's physiological signal detecting unit, driver's physiology reflection characteristic detection unit, driver's operation behavior detecting unit and lorry driving trace characteristic detection unit are all joined with data analysis processing unit (5), and said acousto-optic is warned unit (6) to comprise and is installed in the acousto-optic alarm (6-1) in the pilothouse and is installed in outer four corner lamps (6-2) of lorry car.
2. according to the described lorry fatigue driving of claim 1 acousto-optic warning system; It is characterized in that: first wireless data transceiver module (5-2) and data-carrier store module (5-5) and video signal collective module (5-3) that is connected on microprocessor module (5-1) input end and collection of simulant signal module (5-4) that said data analysis processing unit (5) comprises microprocessor module (5-1), joins with microprocessor module (5-1), said acousto-optic alarm (6-1) and four corner lamps (6-2) are all joined with the output terminal of microprocessor module (5-1).
3. according to the described lorry fatigue driving of claim 2 acousto-optic warning system; It is characterized in that: said driver's physiological signal detecting unit comprises and is used for the brain wave detector (1-1) that the brain wave EEG to the driver detects that the input end of the output terminal of said brain wave detector (1-1) and collection of simulant signal module (5-4) joins.
4. according to the described lorry fatigue driving of claim 2 acousto-optic warning system; It is characterized in that: said driver's physiology reflection characteristic detection unit comprises the camera (2-1) that is used for taking in real time driver's facial image, the head position sensor (2-3) that is used for the pupillometry meter (2-2) that driver's ocular physiology reflection characteristic is detected and is used for driver's head position is detected; The input end of the output terminal of said camera (2-1) and video signal collective module (5-3) joins, and the output terminal of said pupillometry meter (2-2) and head position sensor (2-3) all joins with the input end of collection of simulant signal module (5-4).
5. according to the described lorry fatigue driving of claim 2 acousto-optic warning system; It is characterized in that: said driver's operation behavior detecting unit comprises and is used for the angular displacement sensor (3-1) that the rotation action to bearing circle detects that the input end of the output terminal of said angular displacement sensor (3-1) and collection of simulant signal module (5-4) joins.
6. according to the described lorry fatigue driving of claim 2 acousto-optic warning system; It is characterized in that: said lorry driving trace characteristic detection unit comprises that being laid in both sides of highway is used for lorry is departed from center line of road go a plurality of infrared ray sensors (4-1) that detect and second wireless data transceiver module (4-2) of joining with a plurality of said infrared ray sensors (4-1), and said second wireless data transceiver module (4-2) is with first wireless data transceiver module (5-2) wireless connections and communicate by letter.
7. according to the described lorry fatigue driving of claim 6 acousto-optic warning system, it is characterized in that: said first wireless data transceiver module (5-2) and second wireless data transceiver module (4-2) are the GPRS module.
8. according to the described lorry fatigue driving of arbitrary claim acousto-optic warning system in the claim 2~7, it is characterized in that: said microprocessor module (5-1) is ARM microprocessor or DSP digital signal processor.
9. according to the described lorry fatigue driving of claim 8 acousto-optic warning system, it is characterized in that: said four corner lamps (6-2) are three and are installed in car body rear side, left side and right side respectively.
CN201120572059XU 2011-12-31 2011-12-31 Acousto-optic warning system for truck fatigue driving CN202383802U (en)

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Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103092160A (en) * 2012-12-27 2013-05-08 深圳市元征软件开发有限公司 Vehicle-mounted monitoring system with eye identification, vehicle-mounted monitoring method and vehicle-mounted terminal
CN103989471A (en) * 2014-05-08 2014-08-20 东北大学 Fatigue driving detection system and method based on EEG identification
CN104036619A (en) * 2013-03-04 2014-09-10 德尔福电子(苏州)有限公司 Fatigue detection method and detection apparatus based on turn angle data of steering wheel
CN104228838A (en) * 2014-09-19 2014-12-24 安徽工程大学 Early warning system for preventing fatigue driving and method thereof
CN104424751A (en) * 2013-09-04 2015-03-18 财团法人工业技术研究院 Method and system for detecting conditions of drivers, and electronic apparatus thereof
CN104783817A (en) * 2015-04-16 2015-07-22 杨燕 Double-mode detection platform for driving state of automobile driver
WO2015106690A1 (en) * 2014-01-15 2015-07-23 国防科学技术大学 Method and device for detecting safe driving state of driver
CN104802800A (en) * 2015-04-16 2015-07-29 张小磊 Driver state identifying system based on detection of steering wheel
CN104887223A (en) * 2015-05-27 2015-09-09 杭州回车电子科技有限公司 Wireless dry electrode EEG collection and action recognition method and system
CN105405254A (en) * 2015-12-23 2016-03-16 天津理想动力科技有限公司 Intelligent cap of fatigue monitoring
CN106687026A (en) * 2014-05-12 2017-05-17 汽车技术国际公司 Driver health and fatigue monitoring system and method
CN107004364A (en) * 2014-12-26 2017-08-01 横滨橡胶株式会社 CAS and avoiding collision
CN107111949A (en) * 2014-12-26 2017-08-29 横滨橡胶株式会社 CAS and avoiding collision
CN109410524A (en) * 2018-12-06 2019-03-01 四川大学锦城学院 A kind of driver fatigue monitoring system and its monitoring method
CN109520396A (en) * 2017-09-16 2019-03-26 中车大同电力机车有限公司 A kind of locomotive coupler case centrode tracker
TWI659400B (en) * 2017-04-25 2019-05-11 元智大學 System and method for detecting physiological signals of driver

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103092160A (en) * 2012-12-27 2013-05-08 深圳市元征软件开发有限公司 Vehicle-mounted monitoring system with eye identification, vehicle-mounted monitoring method and vehicle-mounted terminal
CN104036619A (en) * 2013-03-04 2014-09-10 德尔福电子(苏州)有限公司 Fatigue detection method and detection apparatus based on turn angle data of steering wheel
CN104036619B (en) * 2013-03-04 2016-06-29 德尔福电子(苏州)有限公司 Fatigue detection method and detecting device based on steering wheel angle data
CN104424751A (en) * 2013-09-04 2015-03-18 财团法人工业技术研究院 Method and system for detecting conditions of drivers, and electronic apparatus thereof
TWI493511B (en) * 2013-09-04 2015-07-21 Ind Tech Res Inst Method and system for detecting conditions of drivers, and electronic apparatus thereof
CN104424751B (en) * 2013-09-04 2017-07-07 财团法人工业技术研究院 Driving condition detecting system, driving condition detection method and electronic installation
WO2015106690A1 (en) * 2014-01-15 2015-07-23 国防科学技术大学 Method and device for detecting safe driving state of driver
CN103989471B (en) * 2014-05-08 2015-11-04 东北大学 A kind of method for detecting fatigue driving based on electroencephalogram identification
CN103989471A (en) * 2014-05-08 2014-08-20 东北大学 Fatigue driving detection system and method based on EEG identification
CN106687026A (en) * 2014-05-12 2017-05-17 汽车技术国际公司 Driver health and fatigue monitoring system and method
CN104228838A (en) * 2014-09-19 2014-12-24 安徽工程大学 Early warning system for preventing fatigue driving and method thereof
CN107111949A (en) * 2014-12-26 2017-08-29 横滨橡胶株式会社 CAS and avoiding collision
CN107004364A (en) * 2014-12-26 2017-08-01 横滨橡胶株式会社 CAS and avoiding collision
CN107004364B (en) * 2014-12-26 2020-04-10 横滨橡胶株式会社 Anti-collision system and anti-collision method
CN107111949B (en) * 2014-12-26 2020-04-10 横滨橡胶株式会社 Anti-collision system and anti-collision method
CN104783817B (en) * 2015-04-16 2016-08-24 深圳市索菱实业股份有限公司 Double mode driver's driving condition detection platform
CN105172794A (en) * 2015-04-16 2015-12-23 张小磊 Automotive driver state recognition system based on steering wheel detection
CN105172794B (en) * 2015-04-16 2017-06-23 北京品智能量科技有限公司 Driver's state recognition system based on steering wheel detection
CN105030258A (en) * 2015-04-16 2015-11-11 杨燕 Double-mode automobile driver driving state detection platform
CN104802800A (en) * 2015-04-16 2015-07-29 张小磊 Driver state identifying system based on detection of steering wheel
CN104783817A (en) * 2015-04-16 2015-07-22 杨燕 Double-mode detection platform for driving state of automobile driver
CN104887223A (en) * 2015-05-27 2015-09-09 杭州回车电子科技有限公司 Wireless dry electrode EEG collection and action recognition method and system
CN105405254A (en) * 2015-12-23 2016-03-16 天津理想动力科技有限公司 Intelligent cap of fatigue monitoring
TWI659400B (en) * 2017-04-25 2019-05-11 元智大學 System and method for detecting physiological signals of driver
CN109520396A (en) * 2017-09-16 2019-03-26 中车大同电力机车有限公司 A kind of locomotive coupler case centrode tracker
CN109410524A (en) * 2018-12-06 2019-03-01 四川大学锦城学院 A kind of driver fatigue monitoring system and its monitoring method

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