Fresh agricultural product transport truck intelligent rapid detection method based on multi-source data fusion

By constructing a multi-source data fusion database of cargo packaging loading ratio and empty vehicle weight, and combining field measurements and theoretical estimations, a triple constraint model and machine learning are used to achieve intelligent and rapid detection of vehicles transporting fresh agricultural products. This solves the problems of low detection efficiency and violations, and improves detection accuracy and efficiency.

CN122264651APending Publication Date: 2026-06-23XIAN CHANGYUNKE TRANSPORTATION TECHNOLOGY CO LTD +3
0 Cites 0 Cited by

Patent Information

Application Number
CN202610188116.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies for detecting vehicles transporting fresh agricultural products are inefficient and lack unified standards, leading to violations such as insufficient loading, mixing of non-green channel goods, and false reporting of goods types, resulting in toll revenue loss.

Method used

A benchmark database of cargo packaging loading ratio and empty vehicle weight is constructed. Through multi-source data fusion, combined with field measurement and theoretical estimation, the cargo loading weight difference is calculated. A triple constraint model is used to determine the trust level, and machine learning is used to predict the empty vehicle weight to achieve automated detection.

Benefits of technology

It significantly improves the accuracy and efficiency of green channel vehicle inspection, automatically identifies various violations, reduces manual intervention, and ensures reasonable collection of tolls.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the field of highway green channel violation monitoring, in particular to a fresh agricultural product transport truck intelligent rapid detection method based on multi-source data fusion. Comprising the following steps: step 1, constructing a cargo packaging and loading specific gravity reference database and an empty vehicle mass reference database; 2, the total weight of a cargo carrying vehicle, actual vehicle information and transported cargo information are collected, and the cargo packaging and loading specific gravity is obtained; 3, obtaining a difference absolute value according to the actual cargo loading mass and the theoretical maximum cargo loading mass; 4, judging the trust level according to the ratio of the difference absolute value to the theoretical load; the trust level comprises a mild doubt and a severe doubt; manual strict inspection is suggested for the vehicle which is judged to be severely suspected, and normal inspection is conducted on the vehicle which is judged to be slightly suspected. According to the method, various illegal behaviors such as insufficient loading capacity and mixed loading of goods can be automatically identified, and the accuracy and efficiency of green channel vehicle detection are remarkably improved.
Need to check novelty before this filing date? Find Prior Art