Road damage detection robot system

Abstract

The invention discloses a road damage detection robot system. The system comprises a robot body system, wherein the robot body system comprises a mobile platform system and a detection system; the detection system is mounted on the mobile platform system; the detection system comprises a knocking and scanning detector, a lifting mechanism and a detector control system; the lifting mechanism is mounted on the mobile platform system; the knocking and scanning detector is mounted on the lifting mechanism; and the detector control system is electrically connected with the knocking and scanning detector. By adopting the detection system disclosed by the invention, intelligent detection can be realized; due to no need of manual operation, the accuracy of detection security and detection data can be improved; a plurality of lossless detection sensors are integrated, so that comprehensive evaluation of pavement and internal conditions of the pavement can be realized at one time, the detection efficiency is greatly improved, and the influence on road trafficability is also reduced.

Description

technical field [0001] The invention relates to a road surface detection device, in particular to a road damage detection robot system, which is mainly used for roads with beam structures such as bridges. Background technique [0002] After the bridge or elevated road is built, in order to ensure the safety and efficiency of traffic, regular maintenance is required. With the rapid increase in the mileage of expressways in China and the increase in the service life of the roads, expressways have entered a period of equal emphasis on construction and maintenance. Expressways with more than 50,000 kilometers have generally entered the normal maintenance period after the defect liability period, and the overall personnel scale of the maintenance industry has grown rapidly. In 2015, there were nearly 13,000 kilometers of expressways that needed major and medium repairs. [0003] Bridge or elevated road maintenance includes subgrade maintenance, road surface maintenance, bridge ...

AI Technical Summary

Problems solved by technology

At present, the detection and evaluation of road surface conditions mainly rely on manual visual inspection, which mainly depends on experience, and the detection accuracy is poor

The alternative is to use manual instrument detection, which is better than visual data accuracy, but there are also the following problems: First, manual data collection is easily affected by manual operation errors, data accuracy cannot be guaranteed, and personal safety No guarantee; second, the rate of manual inspection is low, requiring a lot of manpower, labor-intensive and inefficient, and the inspection time is long, which affects the traffic efficiency; third, manual inspection can only be a single instrument, and only one defect can be detected at a time , it is not possible to make a comprehensive assessment of the pavement condition

However, the disadvantage of this type of inspection vehicle is that it still needs manual control and manual judgment, and cannot meet the requirements of certain inspection processes for motion control (such as stopping at a certain distance), and cannot independently detect and fuse data for automatic evaluation. And it can only detect the condition of the road surface, not the condition below the road surface

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