Safe state monitoring method of motor vehicle based on wheel load type intelligent sensing

Abstract

The invention discloses a safe state monitoring method of a motor vehicle based on wheel load type intelligent sensing. According to the method, wheel intelligent sensing modules are fast mounted on wheel hubs of the motor vehicle through a circular triangular movable wheel hub grabbing disc, a vehicle body intelligent sensing unit is mounted on the vehicle body and a suspension intelligent sensing unit is mounted on a suspension, so that real-time online monitoring of motion attitude, dynamic load and brake parameters of the motor vehicle, which are directly related to the operation of the motor vehicle, can be performed. The motion attitude, the dynamic load and the brake parameters of the motor vehicle can be obtained by performing signal conditioning, digitization and calculation through a monitoring algorithm of the motion attitude, the dynamic load and brake of the motor vehicle on all sensed signals. The safe state parameters of the motor vehicle can really, dynamically, comprehensively and scientifically monitor and actively evaluate the driving safety condition of the motor vehicle by combining and analyzing multiple sensed data. According to the method, the technical support capability of safe operation of the motor vehicle can be improved and the occurrence of traffic accidents can be reduced.

Description

technical field [0001] The invention relates to the field of monitoring the safe running state of motor vehicles, in particular to a real-time monitoring method for monitoring the safe state of the motor vehicle during driving. Background technique [0002] Motor vehicle operation safety status monitoring technology is the main means to ensure the safe driving of motor vehicles, and it is also the inevitable trend of the development of motor vehicle operation safety detection technology. Use motor vehicle operation safety status monitoring technology to dynamically monitor motor vehicle operation safety status and operating indicators, discover and prevent motor vehicle failures in a timely manner, develop a safety monitoring network system integrating monitoring, control, management and decision-making, and ensure the safe operation of motor vehicles It is of great significance; it is a major social public welfare technical work related to the safety of the country and peop...

AI Technical Summary

Problems solved by technology

During the movement, the wheel is in a complex and harsh working environment such as high-speed rotation, high temperature, vibration, dust, rain, etc. There are signal shielding, noise interference, centrifugal force, dynamic balance problems, sensor installation, size, power supply, power consumption, high temperature resistance, Humidity resistance becomes a difficult problem in wheel motion attitude monitoring

[0004] At present, the monitoring of body motion attitude is mostly limited to the two parameters of body forward speed and acceleration, and the comprehensive, fast and reliable measurement of body motion attitude parameters is still in its infancy, mainly focusing on exploring applications in some special vehicles; The traditional wheel ABS anti-lock braking system wheel speed sensing method for wheel motion attitude monitoring is mostly limited to measuring the two parameters of wheel angular velocity and angular acceleration, and fails to further obtain wheel attitude angle, speed, and rotation parameter information; The tire pressure monitoring TPMS method for load monitoring is mostly limited to measuring two parameters of tire real-time pressure and temperature, and cannot directly measure the dynamic load parameters of the wheel; the wheel ABS anti-lock braking system wheel speed sensing method for wheel braking monitoring, mostly Limited to the measurement of wheel slip rate parameters, it is impossible to comprehensively measure wheel braking parameters and fail to truly reflect the wheel braking parameters

The existing motor vehicle safety performance detection methods do not conduct comprehensive real-time monitoring of the safety state parameters of the motor vehicle during driving, and fail to accurately analyze the safety state parameters of the vehicle under different road conditions and when the vehicle body and tires are in different postures. As a result, it is impossible to effectively monitor the safety status of motor vehicles, which is not conducive to the prediction and evaluation of the safety status of motor vehicles during operation.

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