A vehicle detection device based on multiple vibration detection sensors

Abstract

The invention discloses a vehicle detecting device based on multiple shock detecting sensors. The vehicle detecting device based on the multiple shock detecting sensors comprises a shock detecting unit, a shock signal adjusting circuit, a data collection unit, a microprocessor, a storage unit and a wireless transmitting module. The shock detecting unit, the shock signal adjusting circuit, the data collection unit and the microprocessor are connected in sequence, and the storage unit and the wireless transmitting module are connected with the microprocessor respectively. In the running process of a vehicle, continuous stimulating is generated to the ground by vehicle shafts through vehicle wheels, the generated road surface shock is detected by the multiple shock detecting sensors, the detected signal after passing through the signal adjusting circuit is input to a microcontroller, shock data are processed by the microcontroller to acquire shock source positioning, vehicle shaft positioning data are further acquired, and vehicle information such as the number of the vehicle shafts, wheel base, speed of the vehicle, the vehicle type classification and the like is acquired. The vehicle detecting device based on the multiple shock detecting sensors has the advantages of not being affected by weather factors such as rain, snow, fog and the like and boundary dimensions of the vehicles, and being simple to install and maintain and stable in operation.

Description

technical field [0001] The invention relates to a vehicle detector applied in the field of intelligent transportation, in particular to a vehicle detection device based on multiple shock sensors. Background technique [0002] When the vehicle is running on the road, it will release heat, sound, magnetic and other signals. Traffic detectors are used to detect moving vehicles by detecting one or several signals. According to the types of detection sensors used in traffic detectors, they can be divided into pressure, acceleration, magnetic field, inductance, ultrasonic, frequency, photoelectric, image sensing, etc. They detect the time, size or image of a vehicle passing through a certain interface by sensing, converting and transmitting relevant physical quantities, and transmit it to the processing unit. The processing unit converts these transmitted physical quantities into vehicle element values, such as the number of axles, wheelbase, vehicle size, etc. Currently widely...

AI Technical Summary

Problems solved by technology

[0004] At the same time, the signal source of traditional vehicle detection technology is relatively single, and the detection results are affected by factors such as the distance, angle and relative position between the detector and the vehicle, and the environmental adaptability of the detector to work in different road environments is not strong

[0005] At the same time, in these traffic data collection and classification systems, there are still shortcomings such as insufficient classification of vehicle types and insufficient accuracy of parameter measurement.

Images