Network-based yellow label vehicle detection system and detection method

Abstract

The invention discloses a network-based yellow label car detection system and a yellow label car detection method. The system comprises a site plant and a remote terminal, wherein the site plant comprises an identity recognition module, a portable terminal unit and a detection unit; the remote terminal stores basic information, emission standard information and a non-environmentally-friendly catalogue of a car, and the remote terminal is in network connection with the portable terminal unit to be used for interactively transmitting the information. The detection system remotely judges whether the car with the identity information is a yellow label car through the internet according to the basic information and the detection information of the car, and the whole detection and judgment process is automated, systematized and standardized, so that the effective monitoring in the follow-up transportation process is facilitated, meanwhile, the conditions that the yellow label car is not truly or objectively identified are avoided or reduced, the archives of the yellow label cars are conveniently managed, the working efficiency is improved, and the in-time monitoring is guaranteed.

Description

technical field [0001] The invention relates to a vehicle detection system, in particular to a system and method for yellow label vehicle detection. Background technique [0002] "Yellow label vehicles" are high-pollution vehicles that do not meet the corresponding emission standards. If they are driven in a large area, they will cause great pollution to the environment; therefore, the standardized detection and management of yellow label vehicles is an important measure to ensure the urban environment. . [0003] In the prior art, the more common detection method for yellow-label vehicles is to detect whether the emissions of the inspected vehicles meet the standards on site, so as to determine whether it is a yellow-label vehicle, and manage it by pasting labels; if the on-site supervision is not in place, the final result is untrue At the same time, the establishment and update of the database is relatively primitive and has a long cycle, which is not conducive to the sy...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the more common detection method for yellow-label vehicles is to detect whether the emissions of the inspected vehicles meet the standards on site, so as to determine whether it is a yellow-label vehicle, and manage it by pasting labels; if the on-site supervision is not in place, the final result is untrue At the same time, the establishment and update of the database is relatively primitive and the cycle is long, which is not conducive to the systematic and standardized management of yellow-label vehicles; thus, the ultimate goal of yellow-label vehicle management cannot be realized

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