Pavement disease intelligent detection trolley and sand table display system based on 5G and automatic driving

Abstract

The invention discloses a pavement disease intelligent detection trolley and sand table display system based on 5G and automatic driving. The system comprises an intelligent detection trolley and an asphalt concrete disease simulation sand table. And the intelligent detection trolley and the asphalt concrete disease simulation sand table are mutually independent. As an independent individual, the intelligent detection trolley can carry out real-time detection on a road with small traffic flow. In combination with the asphalt concrete disease simulation sand table, the intelligent detection trolley is placed on the intelligent detection sand table, runs according to a preset route, carries out corresponding pavement disease detection and is used for teaching display in colleges and universities. The system has the advantages of being strong in stereoscopic impression, vivid, visual and the like, and a set of perfect teaching system integrating scene type teaching and interactive teaching is formed.

Description

technical field [0001] The invention belongs to the technical field of road surface intelligent detection equipment, and in particular relates to a road surface disease intelligent detection car and a sand table display system based on 5G and automatic driving. Background technique [0002] In recent years, with the continuous economic growth, the focus of my country's transportation infrastructure construction has shifted from road construction to road maintenance. As one of the key contents of road maintenance, the detection of pavement disease is directly related to the service life of the pavement, and is also closely related to the comfort of driving. In addition, the effective detection of road surface diseases plays an indispensable role in ensuring the safety of public transportation. Therefore, the intelligence, speed and necessity of pavement disease detection become particularly important. [0003] At present, the more advanced road surface disease detection met...

AI Technical Summary

Problems solved by technology

This method has disadvantages such as slow speed of disease detection and uploading of results, great influence of environmental factors, large investment of human resources, and excessive volume of inspection vehicles affecting flexibility, etc.

Due to the limitation of image detection and transmission technology, the collection of disease images in road disease detection work is to use the image set taken directly perpendicular to the ground. For the realization of automatic driving, this image set is not practical and has low application value.

Secondly, limited by imperfect hardware conditions (such as cameras) and complex road environments, it is difficult to collect images of road surface diseases, and the speed and efficiency of road surface disease detection are relatively low

[0004] In addition, limited by the difficulty of field investigation and study and the lack of a teaching platform that can realize the real and intuitive display of road surface disease functions, college students' understanding of road surface disease detection and treatment is still at the theoretical level, and there is still a gap between the understanding of engineering practice. gap

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