Urban underground disease body full life cycle management method based on ground penetrating radar

Abstract

The invention discloses an urban underground disease body full life cycle management method based on a ground penetrating radar, and the method comprises the following steps: 1, carrying out the comprehensive detection of an area which is detected for the first time and reaches a detection cycle through a rapid vehicle-mounted ground penetrating radar, and processing the data of the ground penetrating radar; 2, processing ground penetrating radar data in a region corresponding to general survey abnormity, screening fine detection abnormity, and quantifying the sizes of voids, cavities, loose bodies and water-rich bodies; 3, calculating risk occurrence possibility scores according to the scale of the fine detection abnormity, and dividing risk possibility grades; step 4, classifying the evaluation areas; and step 5, distinguishing and confirming abnormal regions as disease regions and conventional regions. Based on the technical means of the ground penetrating radar, the full-life-cycle management method for detection, evaluation, early warning, treatment and maintenance of the urban road underground disease bodies is established, and the management process and mechanism are perfected, so that the road underground safety early warning capability is improved, and the occurrence of road surface collapse accidents is reduced.

Description

technical field [0001] The invention belongs to the field of underground target detection, and in particular relates to a full life cycle management method of urban underground disease bodies based on ground penetrating radar data in the field. Background technique [0002] Ground penetrating radar is an electromagnetic detection device based on electromagnetic waves to detect the distribution of underground media to determine its internal morphological structure. It has the advantages of non-destructive, fast and shallow high resolution. A large number of engineering applications have found that urban road collapse accidents are mainly caused by hidden underground disease bodies. Due to the different formation reasons, the depth, shape and filling of the underground disease bodies are different. The current research mainly focuses on the single detection, identification and early warning based on the ground penetrating radar data. There are few reports on how to track and ...

AI Technical Summary

Problems solved by technology

The shortcoming of this patent is: only information such as target category and coordinates are stored in the .

The disadvantages of this patent are: it only detects and warns the single detection data, how to monitor the development of the cavity disease that has not reached the warning value in this detection, whether it needs to be dealt with in this detection and warning, and how to judge the treatment effect. mention

Due to the instability of experience values ​​and the lack of objective quantitative data on road diseases, the treatment plan is unrealistic, wasting funds, resulting in a decline in road performance and an increase in road costs

In particular, there is not enough historical testing data, and the prediction of maintenance needs across the year is not accurate, resulting in limited funds but not being able to maximize benefits

The consequence is that it affects the smooth flow of the road, threatens the safety of the city, and restricts the rapid development of my country's economy.

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