Container truck information identification system based on collaboration of multiple sensors

Abstract

The invention discloses a container truck information identification system based on collaboration of multiple sensors. The identification system comprises an information processor, a bus control unit, an LED (light-emitting diode) display screen, a container truck lane, a ground sensing coil, an infrared sensor, a truck body, a truck head reader-writer and a video camera; wherein the bus controlunit is connected with the information processor for transmitting corresponding signals; the bus control unit is connected with the LED display screen, the container truck lane, the ground sensing coil, the infrared sensor, the truck body, the truck head reader-writer and the video camera by signals; and the ground sensing coil for sensing the state of a truck is arranged at the entrance end of the container truck lane. The container truck information identification system based on the collaboration of multiple sensors realizes the fusion of sensing information by using a computer for rapidlyjudging the state of the truck, can accurately obtain much information about trucks passing through the lane, judges the current operation state of the truck in real time, and can give driving indications for the trucks leaving the lane according to business management requirements.

Description

Technical field: [0001] The invention relates to an information identification system, in particular to a collection truck information identification system based on multi-sensor coordination for improving the management capability of collection truck vehicles in a port. Background technique: [0002] With the rapid development of modern society, an efficient traffic management system has become one of the primary tasks of urban development. The vehicle detection and vehicle type recognition system, that is, the traffic information collection system, is an indispensable and basic part of the highway and urban road monitoring system and the container truck transportation in the container port. The technical level of the traffic information collection system directly affects the highway and urban road monitoring. system and the overall operation and management level of container truck transportation in container ports. Therefore, the research on the ground vehicle detection a...

AI Technical Summary

Problems solved by technology

[0003] (1) The ground induction coil recognition technology uses the magnetic induction coil to sense the disturbance of the earth's magnetic field when the vehicle passes by, and the sensor needs to be buried underground. This method can only detect whether there is a vehicle passing by, and cannot obtain other information about the vehicle;

[0004] (2) Infrared identification technology, which is detected by detecting the thermal radiation of the engine or by reflecting infrared rays, its main disadvantage is that it is greatly affected by external interference;

[0005] (3) Radar identification technology, which identifies the type of vehicle through reflected microwave signals. Its main disadvantage is that the identification system will fail when the vehicle speed is slow or stationary;

[0006] (4) Video detection and recognition technology, the recognition system using image processing technology, intelligent recognition of license plates and other signs, cannot obtain other information of the vehicle, and due to the influence of light, weather and climate, the application conditions are limited and cannot be realized 24 / 7 vehicle detection

[0007] In the prior art, the technology of vehicle identification and management based on RFID (electronic tag) has been used, but the traditional RFID-based vehicle identification system can only obtain the basic information of the vehicle, so there are many limitations in vehicle management, such as It cannot identify and comprehensively analyze many important information such as the shape of the vehicle, the loading situation, and the license plate logo, resulting in many loopholes in vehicle management

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