CN107554527B - System and method with driving state monitoring and early warning functions - Google Patents
System and method with driving state monitoring and early warning functions Download PDFInfo
- Publication number
- CN107554527B CN107554527B CN201710659934.XA CN201710659934A CN107554527B CN 107554527 B CN107554527 B CN 107554527B CN 201710659934 A CN201710659934 A CN 201710659934A CN 107554527 B CN107554527 B CN 107554527B
- Authority
- CN
- China
- Prior art keywords
- state
- pressure sensor
- auxiliary brake
- detection module
- cushion
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Emergency Alarm Devices (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a system with driving state monitoring and early warning functions, which comprises an intelligent cushion, an auxiliary brake detection module, a microprocessor and a feedback warning module, wherein the intelligent cushion is connected with the auxiliary brake detection module; the intelligent cushion comprises an inertial sensor arranged in the center of the cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor which are distributed on the cushion; the auxiliary brake detection module is used for detecting whether the auxiliary brake is in a braking state or not; the microprocessor judges whether the driver is in a fatigue state, a road surface state, a vehicle running state and an auxiliary brake state by using data acquired by the intelligent cushion and the auxiliary brake detection module; and the feedback alarm module reminds the user according to the judgment result of the microprocessor. According to the intelligent seat cushion, the intelligent seat cushion which is not constrained to the user is arranged, the sensor and the algorithm are matched, the fatigue state of the driver is effectively monitored, the user is reminded of having a proper rest, and therefore potential safety hazards caused by long-time driving are prevented.
Description
Technical Field
The invention belongs to the field of vehicle driving safety, and particularly relates to a system and a method for monitoring and early warning a driving state.
Background
At present, with the rapid development of social economy, many families have motor vehicles, and due to negligence of people, many potential safety hazards are caused. For example, driving fatigue caused in the long-time driving process causes the possibility of traffic accidents to be increased; on the other hand, some users forget to pull the hand brake to get off after parking, and if the vehicles are in a downhill road condition, the vehicles are easy to slide, and at the moment, if the users try to block the vehicles by hands because of emergency, serious accidents are easy to happen.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the system and the method for monitoring and early warning the driving state can prevent potential safety hazards caused by long-time driving.
The technical scheme adopted by the invention for solving the technical problems is as follows: a system having driving condition monitoring and early warning, characterized by: the intelligent seat cushion comprises an intelligent seat cushion, an auxiliary brake detection module, a microprocessor and a feedback alarm module; wherein the content of the first and second substances,
the intelligent cushion comprises an inertial sensor arranged in the center of the cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor which are distributed on the cushion;
the auxiliary brake detection module is used for detecting whether the auxiliary brake is in a braking state or not;
the microprocessor is used for judging whether a driver is in a fatigue state, a road surface state, a vehicle running state and an auxiliary brake state by utilizing data acquired by the intelligent cushion and the auxiliary brake detection module;
and the feedback alarm module is used for reminding the user according to the judgment result of the microprocessor.
According to the scheme, the microprocessor comprises a vehicle running state detection module, a fatigue state detection module and a road surface state detection module; wherein the content of the first and second substances,
the vehicle running state detection module is used for judging whether the vehicle is in a running state or not according to the data of the inertial sensor;
a fatigue state detection module for obtaining a sitting posture state by using pressure data collected by the left front pressure sensor, the left rear pressure sensor, the right front pressure sensor and the right rear pressure sensor when the vehicle is in a driving state, calculating the change frequency of the sitting posture state in each time window by using a certain time as a time window, and calculating the change frequency f of the sitting posture state in the time windowtBelow a predetermined threshold fpIf so, judging that the driver is in a fatigue state;
and the road surface state detection module is used for judging whether the road surface is flat or not according to the data acquired by the inertial sensor when the vehicle is in a non-driving state.
According to the scheme, the intelligent cushion is divided into 5 x 5 grids in length and width, the inertial sensor is arranged in the centremost grid, the left front pressure sensor is arranged in one grid in front of the left side of the inertial sensor, the left rear pressure sensor is arranged in one grid in the rear of the left side of the inertial sensor, the right front pressure sensor is arranged in one grid in front of the right side of the inertial sensor, and the right rear pressure sensor is arranged in one grid in the rear of the right side of the inertial sensor.
The monitoring and early warning method realized by the system with the driving state monitoring and early warning function is characterized in that: it comprises the following steps:
s1, acquiring data by using a pressure sensor and an inertia sensor of the intelligent cushion;
s2, judging whether the vehicle is in a running state or not according to the data collected by the inertial sensor;
s3, when the vehicle is in the driving state, using a certain time as a time window, calculating the change frequency of the sitting posture in each time window, and the change frequency f of the sitting posture in the time windowtBelow a predetermined threshold fpIf so, judging that the driver is in a fatigue state, and triggering a feedback alarm module to remind the user;
s4, when the vehicle is in a non-driving state, judging whether the road surface is flat or not according to the data acquired by the inertial sensor; on uneven road surfaces, an auxiliary brake detection module is used for detecting whether an auxiliary brake is in a braking state, and if the auxiliary brake is in a non-braking state, a feedback alarm module is triggered to remind a user.
According to the method, in S3, feature vectors are formed according to the collected values of the pressure sensors, the difference between the values of the pressure sensors is calculated, pressure thresholds are set, 5 sitting postures of sitting upright, leaning to the left, leaning to the right, leaning forward and leaning backward are set, and the 5 sitting postures are identified by adopting a threshold judgment method.
The invention has the beneficial effects that: by setting an intelligent cushion which is not constrained to a user, matching a sensor and a necessary algorithm, the fatigue state of the driver is effectively monitored, and the user is reminded to have a proper rest, so that potential safety hazards caused by long-time driving are prevented; on the other hand, whether the road surface is flat or not is judged through an inertial sensor on the intelligent cushion, and when the parking is in a non-pulled hand brake state, the feedback alarm module is triggered to remind the user.
Drawings
FIG. 1 is a system block diagram of an embodiment of the present invention.
Fig. 2 is a diagram illustrating the layout of the pressure sensors and the inertial sensors of the smart cushion according to an embodiment of the present invention.
FIG. 3 is a flow chart of a method according to an embodiment of the present invention.
Fig. 4 is a flow chart of a sitting posture identifying algorithm based on an intelligent seat cushion according to an embodiment of the invention.
Detailed Description
The invention is further illustrated by the following specific examples and figures.
The invention provides a system with driving state monitoring and early warning functions, which comprises an intelligent cushion, an auxiliary brake detection module, a microprocessor and a feedback warning module, as shown in figure 1.
The intelligent cushion comprises an inertial sensor arranged in the center of the cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor which are distributed on the cushion; in the present embodiment, as shown in fig. 2, the intelligent seat cushion is divided into 5 × 5 cells in the row length and the column width, the inertial sensor IMU is disposed in the center-most cell, the front left pressure sensor Fsr1 is disposed in the front left cell of the inertial sensor IMU, the rear left pressure sensor Fsr3 is disposed in the rear left cell of the inertial sensor IMU, the front right pressure sensor Fsr2 is disposed in the front right cell of the inertial sensor IMU, and the rear right pressure sensor Fsr4 is disposed in the rear right cell of the inertial sensor IMU.
And the auxiliary brake detection module is used for detecting whether the auxiliary brake is in a braking state or not.
And the microprocessor is used for judging whether the driver is in a fatigue state, a road surface state, a vehicle running state and an auxiliary brake state by utilizing the data acquired by the intelligent cushion and the auxiliary brake detection module. The microprocessor comprises a vehicle running state detection module, a fatigue state detection module and a road surface state detection module; the vehicle running state detection module is used for judging whether the vehicle is in a running state or not according to the data of the inertial sensor; a fatigue state detection module for obtaining a sitting posture state by using pressure data collected by the left front pressure sensor, the left rear pressure sensor, the right front pressure sensor and the right rear pressure sensor when the vehicle is in a driving state, calculating the change frequency of the sitting posture state in each time window by using a certain time as a time window, and calculating the change frequency f of the sitting posture state in the time windowtBelow a predetermined threshold fpIf so, judging that the driver is in a fatigue state; and the road surface state detection module is used for judging whether the road surface is flat or not according to the data acquired by the inertial sensor when the vehicle is in a non-driving state.
And the feedback alarm module is used for reminding the user according to the judgment result of the microprocessor.
The monitoring and early warning method implemented by the system with driving state monitoring and early warning, as shown in fig. 3, comprises the following steps:
and S1, acquiring data by using the pressure sensor and the inertia sensor of the intelligent cushion.
And S2, judging whether the vehicle is in a running state or not according to the data collected by the inertial sensor.
S3, when the vehicle is in the driving state, taking a certain time (30S as an example in the embodiment) as a time window, calculating the change frequency of the sitting posture state in each time window, and the change frequency f of the sitting posture state in the time windowtBelow a predetermined threshold fpAnd if so, judging that the driver is in a fatigue state, and triggering a feedback alarm module to remind the user.
Specifically, a feature vector V is formed according to the values of the respective pressure sensors collecteddata(iii) Fsr1, Fsr2, Fsr3, Fsr4} byThe equation calculates the difference between the values of the pressure sensors and sets a pressure threshold value Fth(wherein Fth>0)。
F12＝Fsr1-Fsr2
F34＝Fsr3-Fsr4
F13＝Fsr1-Fsr3
F24＝Fsr2-Fsr4
The 5 sitting postures of sitting in the forward direction, the leftward direction, the rightward direction, the forward direction and the backward direction are respectively represented by PS, &lTtTtranslation = LL "&gTtLL &lTt/T &gTtR, L F and L B, and the 5 sitting postures are identified by adopting a threshold judgment method, as shown in FIG. 4, when F, &lTtTtranslation = LL" &/T &gTtR, L F and L B12And F34Is greater than the pressure threshold value FthIf so, judging the left inclination; when F is present12And F34Is less than a pressure threshold value-FthIf so, judging the inclined part to be right inclined; when F is present13And F24Is greater than the pressure threshold value FthIf so, judging the front inclination; when F is present13And F24Is less than a pressure threshold value-FthWhen the vehicle is inclined backwards, judging the vehicle to incline backwards; otherwise, the sitting posture is judged to be positive.
S4, when the vehicle is in a non-driving state, judging whether the road surface is flat or not according to the inclination angle data acquired by the inertial sensor; on uneven road surfaces, an auxiliary brake detection module is used for detecting whether an auxiliary brake is in a braking state, and if the auxiliary brake is in a non-braking state, a feedback alarm module is triggered to remind a user.
Specifically, the inclination angle value (omega) on the horizontal plane is calculated by using an inertial sensor on the intelligent cushionx,ωy) If ω isxOr ωyGreater than a threshold value omegathAnd if the hand brake is not pulled up, the microprocessor can carry out necessary reminding on the user through the control feedback alarm module.
The alert may be a vibration or sound, etc.
According to the intelligent cushion designed by the invention, the fatigue state of a driver is effectively monitored by analyzing the sitting posture change frequency of the driver, and the problem of potential safety hazard in the long-time driving process is prevented; meanwhile, when the vehicle brakes, when the uneven road surface is detected, if the hand brake is in a pulling-up state, the system is normal, and if the hand brake is in a non-pulling-up state, the user is reminded to pull up the hand brake. The invention can not only monitor and early warn the driving fatigue state, but also solve the potential safety hazard caused by forgetting to pull the hand brake after the motor vehicle stops, thereby effectively ensuring the personal safety of the driver. The invention provides an intelligent cushion free of constraint on a user, which effectively realizes the functions of fatigue monitoring and pavement monitoring through the use of a pressure sensor and an inertia sensor, is easy to integrate with other devices in a motor vehicle, and has simple use and low cost. The safety of the motor vehicle is enhanced, and the method has very important significance for driving safety and safe parking.
The above embodiments are only used for illustrating the design idea and features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the content of the present invention and implement the present invention accordingly, and the protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes and modifications made in accordance with the principles and concepts disclosed herein are intended to be included within the scope of the present invention.
Claims (2)
1. A system having driving condition monitoring and early warning, characterized by: the intelligent seat cushion comprises an intelligent seat cushion, an auxiliary brake detection module, a microprocessor and a feedback alarm module; wherein the content of the first and second substances,
the intelligent cushion comprises an inertial sensor arranged in the center of the cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor which are distributed on the cushion;
the auxiliary brake detection module is used for detecting whether the auxiliary brake is in a braking state or not;
the microprocessor is used for judging whether a driver is in a fatigue state, a road surface state, a vehicle running state and an auxiliary brake state by utilizing data acquired by the intelligent cushion and the auxiliary brake detection module;
the feedback alarm module is used for reminding the user according to the judgment result of the microprocessor;
the microprocessor comprises a vehicle running state detection module, a fatigue state detection module and a road surface state detection module; wherein the content of the first and second substances,
the vehicle running state detection module is used for judging whether the vehicle is in a running state or not according to the data of the inertial sensor;
a fatigue state detection module for obtaining a sitting posture state by using pressure data collected by the left front pressure sensor, the left rear pressure sensor, the right front pressure sensor and the right rear pressure sensor when the vehicle is in a running state, calculating the change frequency of the sitting posture state in each time window by using a certain time as a time window, and calculating the change frequency of the sitting posture state in the time windowf t Below a predetermined threshold valuef p If so, judging that the driver is in a fatigue state, and triggering a feedback alarm module to remind the user;
the road surface state detection module is used for judging whether the road surface is flat or not according to the data collected by the inertial sensor when the vehicle is in a non-driving state; on an uneven road surface, an auxiliary brake detection module is used for detecting whether an auxiliary brake is in a braking state, and if the auxiliary brake is in a non-braking state, a feedback alarm module is triggered to remind a user;
the intelligent cushion is divided into 5 × 5 grids in length and width, the inertial sensor is arranged in the centremost grid, the left front pressure sensor is arranged in the left front grid of the inertial sensor, the left rear pressure sensor is arranged in the left rear grid of the inertial sensor, the right front pressure sensor is arranged in the right front grid of the inertial sensor, and the right rear pressure sensor is arranged in the right rear grid of the inertial sensor.
2. A monitoring and early warning method implemented by using the system for monitoring and early warning of driving state of claim 1, characterized in that: it comprises the following steps:
s1, acquiring data by using a pressure sensor and an inertia sensor of the intelligent cushion;
s2, judging whether the vehicle is in a running state or not according to the data collected by the inertial sensor;
s3, when the vehicle is in the driving state, using a certain time as a time window, calculating the change frequency of the sitting posture state in each time window, and the change frequency of the sitting posture state in the time windowf t Below a predetermined threshold valuef p If so, judging that the driver is in a fatigue state, and triggering a feedback alarm module to remind the user;
s4, when the vehicle is in a non-driving state, judging whether the road surface is flat or not according to the data acquired by the inertial sensor; on an uneven road surface, an auxiliary brake detection module is used for detecting whether an auxiliary brake is in a braking state, and if the auxiliary brake is in a non-braking state, a feedback alarm module is triggered to remind a user;
in S3, a feature vector is formed according to the collected values of the pressure sensors, a difference between the values of the pressure sensors is calculated, a pressure threshold is set, 5 sitting postures of sitting upright, leaning left, leaning right, leaning forward and leaning backward are set, and the 5 sitting postures are identified by a threshold judgment method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710659934.XA CN107554527B (en) | 2017-08-04 | 2017-08-04 | System and method with driving state monitoring and early warning functions |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710659934.XA CN107554527B (en) | 2017-08-04 | 2017-08-04 | System and method with driving state monitoring and early warning functions |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107554527A CN107554527A (en) | 2018-01-09 |
| CN107554527B true CN107554527B (en) | 2020-08-04 |
Family
ID=60975152
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710659934.XA Active CN107554527B (en) | 2017-08-04 | 2017-08-04 | System and method with driving state monitoring and early warning functions |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107554527B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110155071A (en) * | 2019-05-31 | 2019-08-23 | 苏州蓝石新动力有限公司 | A kind of gesture recognition method, device and storage medium |
| CN110946584A (en) * | 2019-10-18 | 2020-04-03 | 沈阳大学 | Method for recognizing human body sitting posture by using piezoresistive film pressure sensor group |
| CN115402175A (en) * | 2022-02-09 | 2022-11-29 | 北京罗克维尔斯科技有限公司 | Vehicle-mounted seat control method, device, medium and equipment |
| CN115465286A (en) * | 2022-10-28 | 2022-12-13 | 重庆长安汽车股份有限公司 | Fatigue driving reminding method and device, vehicle and storage medium |
| CN116399331B (en) * | 2023-06-08 | 2023-08-08 | 太原理工大学 | Remote control state monitoring device and monitoring method for excavator driver |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6392550B1 (en) * | 2000-11-17 | 2002-05-21 | Ford Global Technologies, Inc. | Method and apparatus for monitoring driver alertness |
| CN104755337A (en) * | 2012-11-02 | 2015-07-01 | 本田技研工业株式会社 | Parking control device for vehicle |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100405343B1 (en) * | 2001-10-06 | 2003-11-12 | 기아자동차주식회사 | A brakelamp lighting control apparatus and method |
| US8090499B2 (en) * | 2004-11-23 | 2012-01-03 | GM Global Technology Operations LLC | Anti-rollback control via grade information for hybrid and conventional vehicles |
| CN104108393A (en) * | 2014-07-30 | 2014-10-22 | 上海工程技术大学 | Intelligent cushion system for automobile driver |
| CN106379234B (en) * | 2016-11-02 | 2018-11-27 | 西华大学 | Car ramp parking detection and warning device |
-
2017
- 2017-08-04 CN CN201710659934.XA patent/CN107554527B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6392550B1 (en) * | 2000-11-17 | 2002-05-21 | Ford Global Technologies, Inc. | Method and apparatus for monitoring driver alertness |
| CN104755337A (en) * | 2012-11-02 | 2015-07-01 | 本田技研工业株式会社 | Parking control device for vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107554527A (en) | 2018-01-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107554527B (en) | System and method with driving state monitoring and early warning functions | |
| CN103569114B (en) | The driving force restraining device of vehicle | |
| US9101313B2 (en) | System and method for improving a performance estimation of an operator of a vehicle | |
| US9082285B2 (en) | System and method for determining vehicle driving status information-based driving concentration | |
| CN106573589B (en) | Collision prediction time computing device and collision prediction time calculation method | |
| CN103370252A (en) | System and method for responding to driver behavior | |
| JP5003381B2 (en) | Driving support system, driving support method, and driving support program | |
| CN103318174B (en) | Vehicle anti-collision control system and control method thereof | |
| US20080167757A1 (en) | Biometric Vehicular Emergency Management System | |
| JP6159541B2 (en) | Method and apparatus for data acquisition for a safety device of a balanced vehicle | |
| Zeeman et al. | Combining speed and acceleration to detect reckless driving in the informal public transport industry | |
| TW201621831A (en) | Vehicle driving system and control method | |
| JP6097747B2 (en) | Vehicle safety system | |
| JP2013249026A (en) | Display device for vehicle | |
| US20150100208A1 (en) | Method for Activating Safety Systems of a Vehicle | |
| JP2002008159A (en) | Driver condition judging device | |
| CN104616436A (en) | Fatigue driving determining system and method | |
| EP3616966A1 (en) | Vehicle stop support system | |
| CN112660064B (en) | Method and device for controlling safety belt in vehicle, computer equipment and storage medium | |
| WO2018176506A1 (en) | System and method for controlling interventional actively-controlled intelligent wheelchair | |
| CN110962985B (en) | Anti-lock brake control method and system | |
| CN106956647A (en) | A kind of method and system that warning information is sent to automobile driver | |
| JP2012166579A (en) | Device and method for determining state, and program | |
| CN105539642B (en) | Driving safety detection method and device | |
| JP6772775B2 (en) | Driving support device and driving support method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |