Detecting method and detecting device for rigged dynamic weighing of vehicle

Abstract

The invention provides a detecting method and detecting device for rigged dynamic weighing of a vehicle. The detecting method comprises the following steps: acquiring an image of a running state of a detected vehicle; obtaining track information of a specific part of the detected vehicle from the image of the running state; generating state information of the vehicle based on the track information, wherein the state information of the vehicle include an average speed Vave, a distance difference delta l of two adjacent frames, a displacement distance difference delta y, and a linear model; and determining the running state of the detected vehicle based on the pre-stored speed deviation threshold Vl, linear deviation threshold xl, distance deviation threshold yl of adjacent frames, intermediate left deviation threshold xmin, intermediate right deviation threshold ymax and the state information of the vehicle.

Description

technical field [0001] The invention relates to a technology for judging cheating driving behavior in the process of vehicle weighing, especially for vehicle dynamic weighing technology on highways and other roads, and specifically a method and device for detecting cheating in vehicle dynamic weighing. Background technique [0002] In recent years, since the gradual implementation of truck weight charges, more and more freight drivers are driven by interests, aiming at the characteristics of dynamic weighing of weighing equipment, and adopt illegal driving methods to avoid normal payment, including: S-type weighing, There are various forms such as skipping weighing, high-speed punching, pressing and weighing. It will greatly affect the fairness of weight-based charging transactions, and cause great damage to weighing equipment and other road facilities due to excessive driving and overloading. [0003] In the existing technology, the anti-cheating of the vehicle during the ...

AI Technical Summary

Problems solved by technology

[0035] However, although the above weighing data cheating analysis method can well complete the judgment and compensation for cheating driving of the vehicle, it cannot really avoid the settlement of evidence and disputes. The downsides of the way analytics and algorithmic compensation are done are:

[0036] (1) There is a high possibility of disputes. Even if the vehicle under test is driving in violation of regulations, the data collected by the vehicle dynamic weighing system can accurately determine and compensate for the lost weight

However, due to the fact that there is only evidence in the data, some drivers refuse to accept punishment by denying and other means, which makes management more difficult and disputes continue.

[0037] (2) It is difficult to store certificates. In practical applications, the site where the vehicle is weighed is often in complex conditions. The wheels of the vehicle may randomly stop, start or reverse on the weighing platform, and the axle may jump on the weighing platform. If the whole process of S-type driving cannot be stored through video and played back through the system, there will be dead ends in the management of punishment for some drivers

[0038] (3) The basis for detection and punishment is too single. At this stage, the anti-cheating method only relies on the weight data collected when the vehicle passes through dynamic detection for punishment and compensation. Not only is the evidence not strong, but the source of evidence is single

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