CN112785814A - Fatigue driving early warning intervention system - Google Patents
Fatigue driving early warning intervention system Download PDFInfo
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- CN112785814A CN112785814A CN201911089162.6A CN201911089162A CN112785814A CN 112785814 A CN112785814 A CN 112785814A CN 201911089162 A CN201911089162 A CN 201911089162A CN 112785814 A CN112785814 A CN 112785814A
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- 238000001514 detection method Methods 0.000 abstract description 6
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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
本发明公开了一种疲劳驾驶预警干预系统，包括自适应数据采集模块、ECU数据处理模块、ECU控制模块、电源模块、故障自诊断模块、自动预警器、振动干预电机、自动刹车系统。发明能够较好的消除驾驶人个体差异性对疲劳驾驶检测和识别的影响，精确度较高、准确性较好。另外，根据疲劳驾驶程度的不同，自动预警器和振动干预电机会分别进行不同级别的语音提醒和振动干预，当疲劳驾驶状态解除后停止提醒和干预；当疲劳驾驶人在同一转向角度停留时间过长时，会直接启动自动刹车系统，从而降低疲劳驾驶带来的安全隐患。
The invention discloses a fatigue driving early warning and intervention system, comprising an adaptive data acquisition module, an ECU data processing module, an ECU control module, a power supply module, a fault self-diagnosis module, an automatic early warning device, a vibration intervention motor and an automatic braking system. The invention can better eliminate the influence of individual differences of drivers on the detection and recognition of fatigued driving, and has high precision and high accuracy. In addition, according to the degree of fatigue driving, the automatic warning device and the vibration intervention motor will perform different levels of voice reminder and vibration intervention respectively. When the fatigue driving state is lifted, the reminder and intervention will be stopped; when the fatigue driver stays at the same steering angle for too long For a long time, the automatic braking system will be activated directly, thereby reducing the safety hazards caused by fatigue driving.
Description
Technical Field
The invention belongs to the technical field of fatigue driving early warning intervention, and particularly relates to a fatigue driving early warning intervention system.
Background
With the development of social economy and the improvement of living standard of people, the keeping quantity of automobiles is increased year by year, the traffic pressure is higher and higher, and fatigue driving becomes one of important reasons for traffic accidents. Fatigue driving increases the probability of an accident occurring, so that fatigue driving is increasingly studied. At present, various fatigue early warning devices have been developed at home and abroad, the fatigue state detection is mainly completed through physiological detection, face recognition and wearing of an induction bracelet or a helmet, the accuracy and precision are not high, and the use and wearing are inconvenient. Most fatigue early warning devices can only realize the reminding function, can not intervene fatigue drivers, and can also cause traffic accidents.
The existing devices for realizing the intervention of fatigue drivers have a plurality of defects, and the most important defect is that the personal characteristics cannot be met, so that the intervention effect of the intervention device is poor. Compared with the behavior characteristics in the normal state, the behavior characteristics of the driver in the fatigue state have larger difference, and real-time data acquisition can be carried out on the behavior characteristics. Therefore, the design of the fatigue driving early warning intervention device capable of adapting to the characteristics of the driver is of great significance for reducing the occurrence of traffic accidents.
Disclosure of Invention
The invention aims to provide a fatigue driving early warning intervention system, which solves the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
a fatigue driving early warning intervention system comprises a self-adaptive data acquisition module, an ECU data processing module, an ECU control module, a power supply module, a fault self-diagnosis module, an automatic early warning device, a vibration intervention motor, an automatic brake system, a manual switch and a display; the self-adaptive data acquisition module, the ECU data processing module and the ECU control module form an Electronic Control Unit (ECU); the input port of the self-adaptive data acquisition module is connected with a steering wheel grip strength sensor, a steering wheel corner sensor, a touch sensor, a horn key sensor, a speed sensor, a three-axis acceleration sensor, a heart rate sensor, a sound sensor, a distance measuring sensor, a vehicle data recorder and a GPS, and the output end of the self-adaptive data acquisition module is connected with the input end of an ECU data processing module; the ECU data processing module carries out fatigue identification and judgment and sends a signal to the ECU control module, and the ECU control module is connected with an automatic early warning device, a vibration intervention motor and an automatic braking system; the fault self-diagnosis module is connected with the ECU control module, the display and the manual switch and is used for diagnosing the faults of the ECU, transmitting fault codes to the display and starting the manual switch; and the power supply module is connected with the fault self-diagnosis module and the electronic control unit ECU.
Furthermore, a steering wheel grip sensor is arranged on the surface of the steering wheel and used for detecting the grip condition of a driver; the steering wheel angle sensor is arranged on the steering shaft and used for detecting the steering wheel angle and the rotating speed; the touch sensor is arranged on the surface of the steering wheel and is used for detecting the time that the driver disengages from the steering wheel once and the times of disengaging from the steering wheel per unit time; the horn key sensor is arranged at the horn key and used for detecting the number of keys pressed in unit time; the speed sensor is arranged on an accelerator pedal and used for detecting the instantaneous speed of the vehicle during running; the three-axis acceleration sensor is arranged at the center of the vehicle body and used for detecting the instantaneous lateral acceleration and the instantaneous longitudinal acceleration of the vehicle; the heart rate sensor is arranged below the driver seat and used for detecting the heart rate condition of the driver; the sound sensor is arranged below the driver seat and used for detecting the tone of the driver; the distance measuring sensor is arranged on a front bumper of the vehicle and used for detecting the distance between the vehicle and the vehicle in front; the automobile data recorder and the GPS are arranged at the front windshield and used for detecting the distance of the vehicle deviating from the lane.
Further, the ECU data processing module is composed of a comparator and a data memory of the ECU.
Further, the automatic early warning device comprises a primary voice prompt and a secondary voice prompt.
Further, a vibration intervention motor is installed below the driving seat, and comprises primary vibration intervention and secondary vibration intervention.
Further, the fault self-diagnosis module comprises an alarm, a fault code storage library and a trigger circuit.
Furthermore, a manual switch is connected with a trigger circuit of the fault self-diagnosis module, and the manual switch is installed at the driving seat.
Furthermore, the self-adaptive data acquisition module is connected with a corner timer to realize a timing function.
Furthermore, a relay is arranged between the ECU control module and the automatic early warning device, and a delay relay is arranged between the ECU control module and the vibration dry-pre motor.
Compared with the prior art, the invention has the following technical effects:
the invention extracts the individual parameters of the behavior indexes of the driver through the self-adaptive data acquisition module, thereby effectively solving the influence of individual differences on the detection; the invention grades the fatigue driving state, carries out primary and secondary voice prompt and vibration intervention aiming at the fatigue states of different levels, and has obvious intervention effect.
The invention monitors the turning state of the driver in a fatigue state, and when the same turning angle is too long in retention time, the automatic braking system is started in time to protect the driving safety of the driver.
The invention can detect the driving behavior of the driver in real time, and can transmit the detection data in time, and the error is small.
The device is novel and unique, has strong practicability and high accuracy, improves the driving safety and reduces the occurrence of traffic accidents.
Drawings
FIG. 1 is a schematic diagram of the structure of the device of the present invention.
Fig. 2 is a schematic diagram of a fatigue warning and intervention device.
Fig. 3 is a flow chart of the operation of the fault self-diagnosis module.
In the figure, 1 is a steering wheel grip sensor; 2 is a steering wheel angle sensor; 3 is a touch sensor; 4 is a horn key sensor; 5 is a speed sensor; 6 is a three-axis acceleration sensor; 7 is a heart rate sensor; 8 is a sound sensor; 9 is a distance measuring sensor; 10 is a vehicle event data recorder; 11 is a self-adaptive data acquisition module; 12 is a corner timer; 13 is a fault self-diagnosis module; 14 is a power supply module; 15 is ECU data processing module; 16 is an automatic braking system; 17 is a display; 18 is an ECU control module; 19 is a manual switch; 20 is an early warning relay; 21 is a vibration delay relay; 22 is an automatic early warning device; and 23, a vibration interference motor.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
referring to fig. 1-3, a fatigue driving early warning intervention system includes an adaptive data acquisition module 11, an ECU data processing module 15, an ECU control module 18, a power supply module 14, a fault self-diagnosis module 13, an automatic early warning device 22, a vibration intervention motor 23, an automatic braking system 16, a manual switch 19, and a display 17; the adaptive data acquisition module 11, the ECU data processing module 15 and the ECU control module 18 form an Electronic Control Unit (ECU); the input port of the self-adaptive data acquisition module is connected with a steering wheel grip strength sensor 1, a steering wheel corner sensor 2, a touch sensor 3, a horn key sensor 4, a speed sensor 5, a three-axis acceleration sensor 6, a heart rate sensor 7, a sound sensor 8, a distance measuring sensor 9, a vehicle data recorder 10 and a GPS, and the output end of the self-adaptive data acquisition module 11 is connected with the input end of an ECU data processing module 15; the ECU data processing module 15 carries out fatigue identification and judgment and sends signals to the ECU control module 18, and the ECU control module 18 is connected with an automatic early warning device 22, a vibration intervention motor 23 and an automatic braking system 16; the fault self-diagnosis module 13 is connected with the ECU control module 18, the display 17 and the manual switch 19, and is used for diagnosing the faults of the ECU, transmitting fault codes to the display and starting the manual switch 19; the power supply module 14 connects the failure self-diagnosis module 13 and the electronic control unit ECU.
The steering wheel grip sensor 1 is arranged on the surface of the steering wheel and used for detecting the grip condition of a driver; the steering wheel corner sensor 2 is arranged on the steering shaft and used for detecting the steering wheel corner and the rotating speed; the touch sensor 3 is arranged on the surface of the steering wheel and is used for detecting the time that the driver is disengaged from the steering wheel once and the times of disengaging from the steering wheel per unit time; the horn key sensor 4 is arranged at a horn key and used for detecting the number of keys pressed in unit time; the speed sensor 5 is arranged on an accelerator pedal and used for detecting the instantaneous speed of the vehicle during running; the triaxial acceleration sensor 6 is arranged at the center of the vehicle body and used for detecting the instantaneous lateral acceleration and the instantaneous longitudinal acceleration of the vehicle; the heart rate sensor 7 is arranged below the driver seat and used for detecting the heart rate condition of the driver; the sound sensor 8 is arranged below the driver seat and used for detecting the tone of the driver; the distance measuring sensor 9 is arranged on a front bumper of the vehicle and is used for detecting the distance between the vehicle and the vehicle in front; the drive recorder 10 and the GPS are installed at the front windshield for detecting the lane departure distance of the vehicle.
The ECU data processing module 15 is composed of a comparator and a data memory of the ECU.
The automatic siren 22 includes primary and secondary voice prompts.
The vibration intervention motor 23 is mounted under the driver's seat and includes primary and secondary vibration interventions.
The fault self-diagnosis module 13 includes an alarm, a fault code storage bank, and a trigger circuit.
The manual switch 19 is connected to the trigger circuit of the failure self-diagnosis module 13, and the manual switch 19 is mounted on the driver seat.
The adaptive data acquisition module 11 is connected with a corner timer 12 to realize a timing function.
A relay 20 is arranged between the ECU control module 18 and an automatic early warning device 22, and a time delay relay 21 is arranged between the ECU control module 18 and a vibration intervention motor 23.
The working process of the invention is as follows:
the working process is as follows: the self-adaptive data acquisition module can extract the behavior characteristic parameters of the driver, detect the behavior difference and store the data in the ECU memory, thereby reducing the influence of the individual difference of the driver on the detection. The module can detect the behavior characteristics of a driver in a set time under the normal driving condition, and transmits the detected data to the ECU data processing module, wherein the ECU data processing module is composed of a comparator, a data memory and the like of the ECU, is a calculation storage module inherent to the ECU and is used for carrying out comparison calculation with the behavior characteristics detected in real time and transmitting the calculation result to the control module. The control module is an inherent controller of the ECU, and the controller outputs corresponding control signals after comprehensive processing according to received signals and is used for controlling an automatic early warning device, a vibration intervention motor and an automatic braking system.
Specifically, the automatic early warning device comprises a primary voice prompt and a secondary voice prompt, and the early warning device can read the pre-stored voice in the SD card by using an MP3 early warning module and has different voice information according to different levels. The vibration intervention motor comprises a primary vibration intervention motor and a secondary vibration intervention motor, wherein the vibration motors are arranged on the driving seat, and the vibration intensities are different according to different grades. After the ECU controller outputs a control signal, the early warning relay and the vibration delay relay are started at the same time, a time threshold value is set in advance for the vibration delay relay, and the time is set according to the voice reminding time, so that the vibration intervention motor can be started after the voice reminding is finished, and the intervention function is realized. The automatic early warning device and the vibration intervention motor are provided with a manual main switch, the manual main switch is arranged at the driving seat, and when the early warning intervention device breaks down, the device can be manually closed.
The turning angle timer is connected with the self-adaptive data acquisition module, and if the staying time of a driver in a fatigue state at a turning angle is too long and exceeds the time threshold value of the turning angle timer (one angle signal is controlled within 25 s), the automatic braking system can be directly started to timely protect the driver.
The fault self-diagnosis module comprises an alarm, a fault code storage library, a trigger circuit and the like; when the ECU breaks down, the ECU sends a fault code to the display so as to be maintained, meanwhile, the trigger circuit works, and the alarm also sends out buzzing sound to remind a driver of failure of the fatigue early warning intervention function. The manual switch is connected with a trigger circuit of the fault self-diagnosis module, and when the fatigue early warning intervention function has a fault, the early warning and intervention device can be turned off through the manual switch.
The above description is a preferred embodiment of the present invention, but the present invention is not limited to the above embodiment, and modifications in form are within the scope of the present invention as long as they do not depart from the spirit and scope of the present invention.
Claims (9)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911089162.6A CN112785814A (en) | 2019-11-08 | 2019-11-08 | Fatigue driving early warning intervention system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911089162.6A CN112785814A (en) | 2019-11-08 | 2019-11-08 | Fatigue driving early warning intervention system |
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| CN112785814A true CN112785814A (en) | 2021-05-11 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201911089162.6A Withdrawn CN112785814A (en) | 2019-11-08 | 2019-11-08 | Fatigue driving early warning intervention system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112550145A (en) * | 2020-11-25 | 2021-03-26 | 国家电网有限公司 | Engineering vehicle fatigue driving intervention system |
| CN113774983A (en) * | 2021-09-01 | 2021-12-10 | 延安大学 | Control early warning device of hybrid working machine |
-
2019
- 2019-11-08 CN CN201911089162.6A patent/CN112785814A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112550145A (en) * | 2020-11-25 | 2021-03-26 | 国家电网有限公司 | Engineering vehicle fatigue driving intervention system |
| CN113774983A (en) * | 2021-09-01 | 2021-12-10 | 延安大学 | Control early warning device of hybrid working machine |
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Application publication date: 20210511 |