CN107554527B - System and method with driving state monitoring and early warning functions - Google Patents

Abstract

The present invention provides a system with driving state monitoring and early warning, comprising an intelligent seat cushion, an auxiliary brake detection module, a microprocessor and a feedback alarm module; the intelligent seat cushion includes an inertial sensor arranged in the center of the seat cushion, and a left front pressure distributed on the seat cushion Sensor, left rear pressure sensor, right front pressure sensor and right rear pressure sensor; auxiliary brake detection module, used to detect whether the auxiliary brake is in the braking state; the microprocessor uses the data collected by the intelligent seat cushion and auxiliary brake detection module to judge the driver Whether it is in fatigue state, road surface state, vehicle running state and auxiliary brake state; the feedback alarm module reminds the user according to the judgment result of the microprocessor. The present invention effectively monitors the driver's fatigue state by setting an unconstrained intelligent seat cushion for the user, matching sensors and algorithms, and reminding the user to take a moderate rest, thereby preventing potential safety hazards caused by long-term driving.

Description

A system and method with driving state monitoring and early warning

technical field

The invention belongs to the field of vehicle driving safety, and in particular relates to a system and method with driving state monitoring and early warning.

Background technique

At present, with the rapid development of social economy, many families own motor vehicles, which will cause many safety hazards due to people's negligence. For example, the driving fatigue caused by the long-term driving process increases the possibility of traffic accidents; on the other hand, some users get off the car after parking and forget to pull the handbrake. If the road conditions are downhill, the vehicle is prone to slipping. If you are in a hurry and try to block the car with your bare hands at this time, it is very likely to cause a serious accident.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a system and method with driving state monitoring and early warning, which can prevent potential safety hazards caused by long-term driving.

The technical solution adopted by the present invention to solve the above-mentioned technical problems is: a system with driving state monitoring and early warning, characterized in that: it includes an intelligent seat cushion, an auxiliary brake detection module, a microprocessor and a feedback alarm module; wherein,

The smart seat cushion includes an inertial sensor arranged in the center of the seat cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor distributed on the seat cushion;

Auxiliary brake detection module, used to detect whether the auxiliary brake is in the braking state;

The microprocessor is used to use the data collected by the intelligent seat cushion and auxiliary brake detection module to judge whether the driver is in a fatigue state, road surface state, vehicle running state and auxiliary brake state;

The feedback alarm module is used to remind the user according to the judgment result of the microprocessor.

According to the above solution, the microprocessor includes a vehicle running state detection module, a fatigue state detection module and a road surface state detection module; wherein,

The vehicle running state detection module is used to judge whether the vehicle is in a running state according to the data of the inertial sensor;

The fatigue state detection module is used to obtain the sitting posture state by using the 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, with a certain time as the time window, Calculate the change frequency of the sitting posture state in each time window, when the change frequency f _t of the sitting posture state in the time window is lower than the preset threshold f _p , it is judged that the driver is in a fatigue state;

The road surface state detection module is used for judging whether the road surface is flat according to the data collected by the inertial sensor when the vehicle is in a non-driving state.

According to the above scheme, the smart seat cushion is divided into 5*5 grids with the length of rows and the width of columns, the inertial sensor is arranged in the most central grid, and the left front pressure sensor is arranged in a grid in front of the left of the inertial sensor. The left rear pressure sensor is arranged in a grid on the left rear of the inertial sensor, the right front pressure sensor is arranged in a grid on the right front of the inertial sensor, and the right rear pressure sensor is arranged in a grid on the right rear of the inertial sensor.

The monitoring and early warning method realized by the described system with driving state monitoring and early warning is characterized in that: it comprises the following steps:

S1. Use the pressure sensor and inertial sensor of the smart cushion to collect data;

S2. According to the data collected by the inertial sensor, determine whether the vehicle is in a driving state;

S3. When the vehicle is in a driving state, take a certain time as the time window, calculate the change frequency of the sitting posture state in each time window, and when the change frequency f _t of the sitting posture state in the time window is lower than the preset threshold value f _p , then It is judged that the driver is in a fatigued state, and the feedback alarm module is triggered to remind the user;

S4. When the vehicle is in a non-driving state, determine whether the road surface is flat according to the data collected by the inertial sensor; on an uneven road surface, use the auxiliary brake detection module to detect whether the auxiliary brake is in a braking state. If it is in a non-braking state, then Trigger the feedback alarm module to remind the user.

According to the above method, in S3, according to the collected values of each pressure sensor, a eigenvector is formed, the difference between the values of each pressure sensor is calculated, and the pressure threshold is set, and the setting of upright sitting, left leaning, right leaning, forward leaning is set. There are five sitting postures of leaning and leaning back, and the threshold judgment method is used to identify these five sitting postures.

The beneficial effects of the present invention are as follows: by setting up an intelligent seat cushion that does not restrict the user, matching sensors and necessary algorithms, the fatigue state of the driver can be effectively monitored, and the user is reminded to take a proper rest, thereby preventing the safety caused by long-term driving. On the other hand, the inertial sensor on the smart seat is used to determine whether the road surface is flat, and the feedback alarm module is triggered to remind the user when the parking brake is not pulled.

Description of drawings

FIG. 1 is a system block diagram of an embodiment of the present invention.

FIG. 2 is an explanatory diagram of the layout of a pressure sensor and an inertial sensor of a smart seat cushion according to an embodiment of the present invention.

FIG. 3 is a flowchart of a method according to an embodiment of the present invention.

FIG. 4 is a flowchart of a sitting posture recognition algorithm based on a smart seat cushion according to an embodiment of the present invention.

Detailed ways

The present invention will be further described below with reference to specific examples and accompanying drawings.

The present invention provides a system with driving state monitoring and early warning, as shown in FIG. 1 , which includes an intelligent seat cushion, an auxiliary brake detection module, a microprocessor and a feedback alarm module.

The smart seat cushion includes an inertial sensor arranged in the center of the seat cushion, and a left front pressure sensor, a left rear pressure sensor, a right front pressure sensor and a right rear pressure sensor distributed on the seat cushion; in this embodiment, as shown in FIG. The length of the smart seat cushion mentioned is a row and a column width is divided into 5*5 grids, the inertial sensor IMU is set in the centermost grid, the left front pressure sensor Fsr1 is set in a grid in front of the left of the inertial sensor IMU, and the left rear pressure sensor The sensor Fsr3 is arranged in a grid on the left rear of the inertial sensor IMU, the right front pressure sensor Fsr2 is arranged in a grid on the right front of the inertial sensor IMU, and the right rear pressure sensor Fsr4 is arranged in a grid on the right rear of the inertial sensor IMU.

The auxiliary brake detection module is used to detect whether the auxiliary brake is in the braking state.

The microprocessor is used to use the data collected by the intelligent seat cushion and auxiliary brake detection module to judge whether the driver is in a fatigue state, road surface state, vehicle running state and auxiliary brake state. The microprocessor includes a vehicle running state detection module, a fatigue state detection module and a road surface state detection module; wherein, the vehicle running state detection module is used to judge whether the vehicle is in a driving state according to the data of the inertial sensor; the fatigue state detection module is used when When the vehicle is in a driving state, use the 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 to obtain the sitting posture state, and take a certain time as the time window to calculate the sitting posture state in each time window When the change frequency f _t of the sitting posture state in the time window is lower than the preset threshold f _p , it is judged that the driver is in a fatigue state; the road surface state detection module is used for when the vehicle is in a non-driving state, according to The data collected by the inertial sensor determines whether the road surface is flat or not.

The feedback alarm module is used to remind the user according to the judgment result of the microprocessor.

The monitoring and early warning method implemented by the described system with driving state monitoring and early warning, as shown in Figure 3, includes the following steps:

S1. Use the pressure sensor and inertial sensor of the smart cushion to collect data.

S2, according to the data collected by the inertial sensor, determine whether the vehicle is in a driving state.

S3. When the vehicle is in a driving state, take a certain time (take 30s as an example in this embodiment) as a time window, and calculate the change frequency of the sitting posture state in each time window. When the frequency f _t of the sitting posture state change in the time window is lower than When the preset threshold value _fp is reached, it is judged that the driver is in a fatigued state, and the feedback alarm module is triggered to remind the user.

Specifically, according to the collected values of each pressure sensor, a feature vector V _data = {Fsr1, Fsr2, Fsr3, Fsr4} is formed, the difference between the values of each pressure sensor is calculated by the following formula, and the pressure threshold F _th is set (where F _th >0).

F ₁₂ =Fsr1-Fsr2

F ₃₄ =Fsr3-Fsr4

F ₁₃ =Fsr1-Fsr3

F ₂₄ =Fsr2-Fsr4

PS, LL, LR, LF and LB are used to represent five sitting postures, namely upright sitting, left leaning, right leaning, forward leaning and backward leaning. The threshold judgment method is used to identify these five sitting postures, as shown in Figure 4, when F ₁₂ When the maximum value of F 34 and F ₃₄ is greater than the pressure threshold F _th , it is judged as a left leaning; when the minimum value of F ₁₂ and F ₃₄ is less than the pressure threshold value -F _th , it is judged as a right leaning; When the maximum value of F ₁₃ and F ₂₄ is greater than the pressure threshold value When it is F _th , it is judged to be leaning forward; when the minimum value of F ₁₃ and F ₂₄ is less than the pressure threshold -F _th , it is judged that it is leaning backward; in other cases, it is judged to be sitting upright.

S4. When the vehicle is in a non-driving state, determine whether the road surface is flat according to the inclination data collected by the inertial sensor; on an uneven road surface, use the auxiliary brake detection module to detect whether the auxiliary brake is in a braking state. If it is in a non-braking state, Then the feedback alarm module is triggered to remind the user.

Specifically, the inertial sensor on the smart seat is used to calculate the inclination value (ω _x , ω _y ) on the horizontal plane. If ω _x or ω _y is greater than the threshold ω _th , it is judged that the road surface is in an uneven state, and the handbrake (that is, the auxiliary If the handbrake is not pulled up, the microprocessor will give necessary reminders to the user through the control feedback alarm module.

Reminders can be vibration or sound etc.

The intelligent seat cushion designed by the present invention can effectively monitor the driver's fatigue state by analyzing the frequency of changes in the driver's sitting posture, and prevent potential safety hazards during long-term driving; When the handbrake is pulled up, the system is normal; if the handbrake is not pulled up, the user is reminded to pull up the handbrake. The invention patent can not only monitor and warn the driver's fatigue state, on the other hand, it can solve the hidden safety hazards caused by forgetting to pull the handbrake after the motor vehicle is parked, and effectively guarantee the personal safety of the driver. The invention provides an unconstrained intelligent seat cushion for users, which effectively realizes the functions of fatigue monitoring and road surface monitoring through the use of pressure sensors and inertial sensors, and is easy to integrate with other equipment in the motor vehicle, with simple use and low cost. It helps to enhance the safety of motor vehicles and is of great significance to driving safety and safe parking.

The above embodiments are only used to illustrate the design ideas and features of the present invention, and the purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly, and the protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications made according to the principles and design ideas disclosed in the present invention fall within the protection 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 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 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.

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