Integrated Identification Method Of Tunnel Advance Geological Prediction Based On Histogram Comparison TRT Image Recognition

Due to the complexity of geological environment, tunnel excavation often encounter adverse geological body inconsistent with the initial design, which may cause accidents such as inrush and collapse, and threaten the normal tunnel construction and workers’life and property. So it’s very necessary to carry out tunnel advance geological prediction, provide accurate geological conditions in front of the tunnel face and guide safety construction. Various existing tunnel geological prediction methods all have theirs own limitations, and therefore to carry out comprehensive geological prediction has become the consensus. However, the traditional research lack of improvement of existing prediction technology, especially the discrimination technology of the results.This paper have done such works based on numerous tunnels of Guizhou:Through studying the relevant literature and summarizing author’s work experience, this paper summered up common types of geological disasters and typical diseases forms of karst in the central and northern of Guizhou. This paper pointed out that karst caves and fracture zone are the most common types of adverse geological body, and the collapse of the construction and water inrush are the most common types of geological disasters in the region.Through research and experiments, this paper improved some instrument operation and data processing steps of TRT(Tunnel Reflection Tomography), pointed out that undeserved velocity selection is the main cause of abnormal image position, and put forward the corresponding solution. Besides, this paper summarized TRT image characteristics of different adverse geological bodies.Through the analysis of image features of TRT, this paper selected HSV color histogram comparison method for computer image recognition of TRT image, it can distinguish between karst cave and fracture zone through an output matching approach, and the actual inspection result is good.Through comprehensive fuzzy analytical hierarchy process, this paper combined artificial image, computer image identification and geological data, explored the comprehensive discrimination method based on a single means of forecasting, improved forecasting accuracy of TRT, provided guidance for the conduct geological prediction in the future.