Intelligent cyclic detection system for preventing overload truck from driving into bridge

Abstract

The invention provides an intelligent cyclic detection system for preventing an overload truck from driving into a bridge. A detection opening is formed in front of the bridge entrance, and the detection channel special for trucks is arranged through different height limits; a high-definition camera on the truck special-purpose detection channel captures a license plate number; the license plate number is compared with a license plate number database to obtain a vehicle type to which the license plate number belongs and a load standard thereof, the actual weight of the vehicle is measured by aweighing sensor, the actual weight is input into a central data processor to automatically calculate whether the vehicle is overloaded or not, for the overloaded vehicle, a handrail is closed, the vehicle is guided into an annular unloading area for unloading, and the vehicle is detected by the overload detection system again after unloading is finished. According to the invention, the intelligent overload detection system is combined with the annular unloading field, so that the overload truck can enter the bridge to run only when meeting the standard of transportation, and the harm of the overload truck to the health and safety of the bridge can be effectively avoided.

Description

technical field [0001] The invention relates to an intelligent cycle detection system for preventing overloaded trucks from entering bridges. Background technique [0002] It is well known that the design load standard of highway bridges is the limit to ensure the normal use of highway bridges. However, due to the over-limit and overload transportation of some vehicles, which greatly exceeds the design load standards of highway bridges, the arch rings of many bridges crack and pier deformation occurs. This will have a great impact on the overall stability and reliability of the bridge. At about 18:10 on October 18, 2019, a bridge deck rollover accident occurred at K123 of National Highway 312 and Xigang Road in Wuxi City, Jiangsu Province. , After analysis, it was caused by overloading of transport vehicles. Overloaded trucks driving on bridges not only have a bad impact on the health of bridges, but also have a huge impact on the safety of drivers and other vehicles on the...

AI Technical Summary

Problems solved by technology

This method has the following disadvantages: (1) arranging on-site law enforcement personnel to check itself will allow law enforcement personnel to work under a kind of environment facing overloaded vehicles, which increases the danger of work

(2) In order to avoid inspection, many trucks mostly choose to drive at night, which virtually brings inconvenience to law enforcement

(3) There are many inspection procedures for on-site law enforcement personnel, which is likely to cause traffic jams and inefficiency during peak traffic hours

[0004] In recent years, the overload detection method has gradually formed a trend towards off-site overload detection, and achieved good results. Off-site overload detection law enforcement has effectively avoided the shortcomings of on-site law enforcement personnel detection, but there is still a problem, that is, if When an overloaded vehicle is detected, it only records the information of the overloaded vehicle, or deducts points and fines, but for the sake of traffic order, the overloaded vehicle will continue to drive into the bridge. Once the overloaded vehicle enters the bridge, it has already caused irreparable damage to the health and safety of the bridge. the harm of

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