Abstract
In order to realize the high efficiency quality classification and three-dimensional visualization of engineering rock mass and to solve the technical difficulties of the traditional rock mass quality evaluation method such as high labor intensity, long process time consumption, many intervention processes such as scale measurement and manual calculation, and nonintuitive classification results, this paper puts forward a 3D visual rock mass quality evaluation method and system based on close-range photography, which optimizes the traditional rock mass quality evaluation method, makes the rock mass classification three-dimensional and visible, and realizes the estimation of unrevealed rock mass quality evaluation index. The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations.
Highlights
Gu Dezhen has established the concept of rock mass structure in the early 1960s [1]
After the on-site statistical data are recorded in this form, the rock mass quality information database on the computer side is input uniformly for storage and retention, paving the way for the automatic rock mass quality classification calculation by the self-programmed program later. is form of data statistics can be supplemented or deleted at any point in the mine and can change a single piece of data in the data group, realizing the dynamic grading of rock mass quality in the mine
Put forward the optimization of traditional rock mass quality evaluation method based on 3D visualization of rock mass quality evaluation method of close shot photography and system, solve the traditional method of adverse operating environment manual labor intensity big, long time consuming, and accomplish three-dimensional visual; the rock mass classification problem uncovered rock mass quality classification valuation grade and achieved good effect. e main conclusions are as follows: (1) A method for acquiring key feature parameters of joints based on close-range photography is proposed. e method extracts key characteristic parameters such as length, inclination, centroid position, spacing, and quantity of cracks in close-range photography photos by self-programming
Summary
Gu Dezhen has established the concept of rock mass structure in the early 1960s [1]. It is suggested that the characteristics of rock mass mainly depend on the internal structure of rock mass [2, 3]. Is method can transfer a large number of field works to the indoor to complete, with the advantages of precision, high efficiency, practicality, comprehension, and few environmental disturbances, which effectively solve the disadvantages and shortcomings of the traditional method, provide a new idea for obtaining geometric information of rock mass structure surface, and have been favored by the majority of scholars [14,15,16,17,18,19]. Driven by new theories and technologies such as big data, cloud computing, artificial intelligence, and the strong demand of economic and social development, big data driving knowledge learning, cross-media collaborative processing, man-machine collaborative enhancing intelligence, and other aspects have become the focus and hot spot of geotechnical engineering development It is a matter of great urgency to innovate the traditional low efficiency technology means and solve the multidisciplinary and common problems of fine description, rapid measurement, and visual representation of rock mass structure and its quality grade. On the basis of MATLAB platform, the intelligent evaluation system of image fracture AI identification and rock mass quality is developed, the quality grade of rock mass and the dynamic distribution of regional rock mass under mining disturbance are finely described, rapidly measured, and directly visualized, and the digital, intelligent transition and 3D visual management of quantification of rock mass and rock mass quality identification are realized
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