The system is able to rapidly collect high-precision 3D point cloud data and grayscale data of the pavement. This permits 3D modeling of the pavement according to the data and permits autonomous analysis and extraction of pavement diseases. It can autonomously detect 33 indicators such as pavement damage condition, rutting depth, surface unevenness, roadside facilities and texture depth and offers complete sets of detection solutions to expressway, classified highway, urban roads, rail detection and airfield pavement.
RTM puts the light, machine, electric, algorithm and “3S” technology into integrated application, taking flexible carrying vehicle as platform, equipped with advanced sensors, industrial computers and synchronous control units, etc., so that the vehicle can make automatic detection of 33 road technical condition assessment indexes such as pavement distress, RUT, IRI, TD, roadside facilities and geometric alignment based on the same space-time datum under the normal transport condition, providing complete detection schemes for the pavement of highways, grade roads, city roads and airport roads.
Process and monitor based on the road network level 3G/4G mobile communication on-line data;
Publish and evaluate the detection work online, intelligently guide and precisely position;
Intelligently monitor the data accuracy of the whole inspection process;
Support real-time processing/post-processing modes for all test data;
Work in the complex environment and road without failure such as plateau, high cold, high temperature, high humidity; mountain road, municipal road.
Our products meet various latest standards such as those issued by the Ministry of Transport and the Ministry of Construction, and those on civil aviation.
We have focused on R&D and production of software and hardware products in road traffic and consultation service since establishment in 2001.
We keep in pace with the industrial trend and take the lead in technological development. Our products have been updated to the 6th generation in a short period.
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