Intelligent hub pavement autonomous detection apparatus

Abstract

The invention discloses an intelligent hub pavement autonomous detection apparatus. The apparatus comprises a vehicle body, the vehicle body is provided with a control system, a nondestructive detection system and an operating mechanism, the operating mechanism is arranged on the vehicle body, the nondestructive detection system is connected with the operating mechanism, the control system is electrically connected with the operating mechanism, and the control system is electrically connected with the nondestructive detection system; and the nondestructive detection system comprises a resistivity instrument, the operating mechanism comprises telescoping mechanisms, the resistivity instrument is connected with the telescoping mechanisms, and the bottom of the vehicle body is provided with an independent driving turning device. The intelligent hub pavement autonomous detection apparatus improves the detection safety and the accuracy of detected data due to no manual driving; and the apparatus integrates various nondestructive detection sensors, so the apparatus can realize one-shot comprehensive assessment of the pavement (comprising internal) conditions, thereby the detection efficiency is greatly improved, and influences on the trafficability of roads are reduced.

Description

technical field [0001] The invention relates to a road surface detection device, in particular to a hub-type road surface autonomous detection intelligent device. 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%. In 2015, nearly 13,...

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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