Caterpillar track type road surface autonomous detection robot system and detection method

Abstract

The invention discloses a caterpillar track type road surface autonomous detection robot system which comprises a caterpillar track type robot and a remote monitoring auxiliary system. The caterpillar track type robot and the remote monitoring auxiliary system transmit information in a wireless communication manner. The caterpillar track type robot is provided with a control system, a nondestructive detection system and an operation mechanism; the operation mechanism is installed on the caterpillar track type robot; the nondestructive detection system is connected with the operation mechanism; the control system is electrically connected with the operation mechanism and the nondestructive detection system; and the nondestructive detection system comprises a resistivity meter, the operation mechanism comprises a telescopic mechanism, and the resistivity meter is connected with the telescopic mechanism. The invention further discloses a road surface detection method. By the adoption of the robot system, intelligent detection can be achieved; due to the fact that manual driving is not needed, the detection safety and the accuracy of detected data are improved; various nondestructive detection sensors are integrated, the road surface and the inner condition of the road surface can be comprehensively evaluated at a time, the detection efficiency is greatly improved, and the influences on the road passage are reduced as well.

Description

technical field [0001] The invention relates to a pavement detection device and method, in particular to a crawler-type pavement autonomous detection robot system and detection method. Background technique [0002] After the expressway is completed, in order to ensure the safety and efficiency of traffic, it needs regular maintenance. 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. With the "Twelfth Five-Year Road Maintenance and Management Development Outline" of the Ministry of Communications, the proportion of major and medium repairs has been increased from 13% to 17%, and the proportion has increased by nearly 30...

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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