Highway pavement, tunnel distress diagnosis system based on computer image processing

Abstract

The invention discloses a highway pavement, tunnel distress diagnosis system based on computer image processing. The highway pavement, tunnel distress diagnosis system comprises a hardware part and a software part. The hardware part comprises coherent type laser pavement detection equipment, three-dimensional continuous type laser detection equipment, a main control computer unit, a data recording storage unit, an electrical unit, and an environment guarantee unit. The software part comprises a highway tunnel distress information database, a distress processing module, a distress diagnosis module, an expert diagnosis platform, a backstage operation system, and other modules. After various function and performance debugging, the software part is proved to be provided with a highway pavement, tunnel distress diagnosis-related image processing function, a distress diagnosis function, an expert on-line diagnosis function, and a function of proposing a maintenance scheme and a suggested scheme, and is capable of providing a data, information, process, result integration highway pavement, tunnel distress detection mechanism. Highway, tunnel structural safety and driving safety are guaranteed, tedious work of engineering technicians is reduced, and a significant meaning is provided for environmental protection, reduction of soil and water loss, and reduction of maintenance costs.

Description

[0001] Technical field [0002] The invention relates to a method for diagnosing road and tunnel diseases, in particular to a method for identifying road surface and tunnel diseases based on computer image processing technology. Background technique [0003] At present, the construction of highways and tunnels shows a trend of decreasing new projects and rapidly increasing maintenance and repair projects. The inspection and maintenance of completed highways and tunnels will become one of the leading contents of the road market in the future. The usual asphalt pavement and tunnel maintenance design and inspection adopt the traditional manual investigation method, and the maintenance plan decision-making depends on experience, which results in a long design cycle and low efficiency. At present, laser scanning detection and high-precision surveying and mapping technology and equipment are quite mature in domestic and foreign companies. In my country, road pavement and tunnel dise...

AI Technical Summary

Problems solved by technology

The usual asphalt pavement and tunnel maintenance design and inspection adopt the traditional manual investigation method, and the decision-making of the maintenance plan depends on experience, which results in long design cycle and low efficiency

At present, laser scanning detection and high-precision surveying and mapping technology and equipment are quite mature in domestic and foreign companies. In my country, road pavement and tunnel disease detection devices use CCD cameras to obtain road surface grayscale images, speed radars to obtain road surface distances, and landmark buildings to locate , and achieved good results, but the equipment purchase and maintenance costs are high. In the disease diagnosis section, the automation equipment is not convenient enough to use, and there are still problems that it is not easy to fully identify, and the data is difficult to dir

Images