Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Weighing-free AI intelligent identification truck overload estimation method, device and system

An intelligent identification and truck technology, applied in the field of traffic safety, can solve problems such as difficult road network coverage, complex maintenance and management, and hidden traffic safety hazards.

Active Publication Date: 2021-03-19
南京微达电子科技有限公司
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the entrance of the expressway, the overloading phenomenon has been controlled to a certain extent, but the construction and maintenance costs are relatively high, and a small number of semi-trailers pass through the toll booths by skipping or dragging the scale; non-toll roads have no toll ramps It is difficult to install weighing equipment. Even if it can be installed, the number of covered installations is large, the maintenance management is complicated, and the investment is huge
Public security traffic police at all levels and transportation and road administration departments invest a lot of manpower and material resources every year to patrol the roads or set up inspection stations, but it is difficult to cover the road network and it is impossible to prevent it. The phenomenon of trucks exceeding the limit and overloading is still relatively serious, bringing universal traffic safety hazards

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weighing-free AI intelligent identification truck overload estimation method, device and system
  • Weighing-free AI intelligent identification truck overload estimation method, device and system
  • Weighing-free AI intelligent identification truck overload estimation method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0042] According to the "Highway Law", "Regulations on Highway Safety Protection" and "Regulations on the Administration of Over-limit Transport Vehicles Driving on Highways (Order of the Ministry of Transport No. 62, 2016)", the estimation is mainly based on the overloading of trucks. The overloading standards are as follows: Two-axle trucks , with a total mass of vehicles and cargo exceeding 18,000 kg; three-axle trucks, with a total mass of veh...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a weighing-free AI intelligent identification truck overload estimation method, device and system. The method comprises the steps: firstly, obtaining the average deformation coefficients of rear wheel truck tires of the same type of vehicles under different load capacities, and carrying out fitting to obtain a statistical data linear regression function model that the corresponding average deformation coefficients of the tires change along with the change of the load capacities; determining a truck load upper limit value and a multiple load value according to the trucktype, and substituting the truck load upper limit value and the multiple load value into the function model to obtain a corresponding truck overload tire deformation coefficient value and a multiple overload deformation coefficient value; and when the vehicle to be detected passes through the video detection point, calculating the average deformation coefficient of the rear wheel truck tire according to the deformation horizon length of the rear wheel tire and the radius of the truck tire, comparing the average deformation coefficient with a correlation numerical value, and judging whether thevehicle is an overload or multiple overload suspected vehicle. The invention aims to solve the problems of low cost, no lane guidance, no-dead-corner deploying and controlling intelligent monitoringoverload of various levels of highway networks, especially severe overload vehicles, in the aspects of technicality and economy.

Description

technical field [0001] The present invention relates to the field of traffic safety, in particular to a method for estimating overload of trucks with AI intelligent identification without weighing, as well as related devices and systems. Background technique [0002] Overloaded vehicles will cause great harm to traffic safety, environment and roads, especially bridge facilities, and the traffic management departments of domestic and foreign governments attach great importance to it. In recent years, my country's efforts to control excesses have also increased. At the entrance of the expressway, the overloading phenomenon has been controlled to a certain extent, but the construction and maintenance costs are relatively high, and a small number of semi-trailers pass through the toll booths by skipping or dragging the scale; non-toll roads have no toll ramps It is difficult to install weighing equipment. Even if it can be installed, the number of covered installations is large...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/10
CPCG06F17/10
Inventor 黄东黄一闻陈剑飞
Owner 南京微达电子科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products