Vehicle-mounted high-speed road inspection system and data acquisition and processing method

Abstract

The invention discloses a vehicle-mounted high-speed road inspection system, and a data acquisition and processing method based on the vehicle-mounted high-speed road inspection system. The inspection system aims to the technical disadvantage in an existing high-speed road inspection method, a movable inspection vehicle is adopted as a carrying platform for carrying multiple data collecting equipment, and the time synchronization, state response, data transmission and storage of each piece of data collecting equipment as well as data collecting equipment integration and monitoring technologies are organically adjusted through a high-precision synchronous controller; the operation reliability of the vehicle-mounted high-speed road inspection system is guaranteed, a data fusion technology and the true color valuation are used for achieving a real three-dimensional expression of a space surface feature, the result output and management are finished in a customizing manner, different requirements of clients are met, the quality of inspection on a road is greatly improved and the speed of the inspection on the road is greatly increased, and the in-time effective data reference is provided for road construction maintenance and management of a high-speed road department.

Description

technical field [0001] The invention relates to a vehicle-mounted expressway inspection system and a data acquisition and data processing method based on the vehicle-mounted expressway inspection system. Background technique [0002] In the construction, operation and maintenance of expressways, road condition indicators such as subgrade, pavement, facilities along the line, road markings, etc. are very important for road construction and maintenance departments. With the opening and operation of expressways, under multiple factors such as vehicle load, natural environment, and human factors, road disasters such as roadbed subsidence, road surface cracks, ruts, potholes, equipment damage along the line, and missing markings will inevitably occur on the road. directly affect the safety of vehicles. Therefore, expressway inspection is of great significance. [0003] The current common methods of expressway inspection include manual inspection and single disease inspection ve...

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Problems solved by technology

[0006] The manual inspection method has the following disadvantages: the workload of the staff is heavy, the efficiency is low, it is easy to miss and misjudgment, and there are safety hazards that affect the normal operation of the expressway

On April 1, 2012, Chang'an University applied for a laser road surface detection device for the depth of the road surface structure, which is used to detect the depth of the road surface structure. However, the laser road surface detection device has a single function

The current problems of damage detection equipment based on image technology are: (1) the current equipment can mainly identify cracks, but cannot accurately identify three-dimensional diseases such as wrapping, waves, and subsidence; (2) the post-processing workload is large, The rate of misjudgment and missed judgment is high, and it needs to be manually interpreted one by one in the later stage, and the processing time is too long; (3) Human and weather factors have a certain impact on the accuracy of the test results. For example, the recognition effect is different under different weather conditions

[0012] On September 22, 2011, the road surface detection method and system applied by the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, it collects the acceleration in the vertical direction to detect the road surface, and the detection range is small

[0013] In addition, the traditional method cannot obtain accurate spatial location information, and cannot generate road digital elevation data for accurate settlement analysis; the inspection of traffic facilities is still field investigation, and the efficiency is low

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