Vehicle detection device and method based on artificial magnetic field

Abstract

The invention discloses a vehicle detection device and method based on an artificial magnetic field. The device includes a magnetic field manufacturing device and a magnetic field sensing device. Themagnetic field manufacturing device and the magnetic field sensing device are respectively disposed opposite to each other on the two sides of a lane or a parking lot aisle. Both the magnetic field manufacturing device and the magnetic field sensing device are detachable devices. The magnetic field strength in a region formed by the magnetic field manufacturing device and the magnetic field sensing device and the lane or parking lot aisle is higher than the geomagnetic field. According to the vehicle detection device and method based on the artificial magnetic field, the geomagnetic field is replaced by an artificially constructed magnetic field, which makes detection of sensors more sensitive; the geomagnetic sensor does not have to be buried below the ground, so the damage to the road surface is small; the vehicle type can be distinguished and the parking time of vehicles can be calculated by matching the artificial magnetic field and the geomagnetic sensor; the magnetic field manufacturing device and the geomagnetic sensor are located on the two sides of the road or the parking lot and can be easily disassembled.

Description

technical field [0001] The invention mainly relates to the technical field of intelligent transportation, in particular to a vehicle detection device and method based on an artificial magnetic field. Background technique [0002] Intelligent transportation systems have been widely used in my country. Vehicle detection is an integral part of intelligent transportation systems. Effective road traffic information is collected through vehicle detection, and basic data such as traffic flow, vehicle speed, road occupancy, vehicle distance, and vehicle type are obtained. Purposeful realization of monitoring, control, analysis, decision-making, scheduling and grooming. At present, there are many types of vehicle detectors, such as coil detection, video detection, microwave detection, laser detection, sound wave detection, ultrasonic detection, magnetic detection, infrared detection, etc. [0003] However, these vehicle detectors have obvious disadvantages: the coil detection judges ...

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Problems solved by technology

[0003] However, these vehicle detectors have obvious disadvantages: the coil detection judges whether the vehicle is coming according to the inductance change of the vehicle arrival coil, there is a single traffic data, the buried and the ground are relatively damaged to the ground, easy to damage, and are affected by the quality of the ground; video Detection uses image processing technology to analyze traffic conditions and obtain traffic data, which has high cost and is easily affected by environmental factors such as weather; microwave detection transmits low-energy continuous frequency modulated microwave signals and processes echo signals to obtain traffic data, which is caused by vehicle speed. The accuracy of laser detection is high, but laser detection is harmful to the human body, mainly to the human eye; acoustic wave detection judges vehicle information through ultrasonic reflection, but the ultrasonic installation conditions are harsh and the life is short; magnetic detection can be based on some ferromagnetic objects Disturbance to the geomagnetism to detect the existence of vehicles, there are problems such as low accuracy when the vehicles are dense; infrared detection generates modulation pulses through the modulation pulse generator, and radiates to the road through the infrared probe. When a vehicle passes by, the infrared pulse is transmitted from the vehicle The body is reflected back and received by the receiving tube of the probe. After being demodulated by the infrared demodulator, the driver is triggered to output a detection signal after gating, amplification, rectification and filtering. There is a detection error caused by the weather.

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