Abstract: A tunnel tunneling feasibility prediction method and system based on a TBM rock-machine parameter dynamic interaction mechanism includes: creating device information and rock mass information sample databases; analyzing and calculating a rock mass information sample database of a rising section of TBM tunneling parameters to obtain rock mass information weights under a condition of different device states; determining convergence conditions in different device information states through the rock-machine parameter dynamic interaction mechanism, and obtaining an optimal solution of tunneling parameters of a stable section of the TBM tunneling parameters under a condition of different rock mass information; and creating an optimal tunneling formula applicable to TBM tunneling through the obtained weight information and the optimal solution of the tunneling parameters of the stable section, performing TBM tunneling feasibility classification, and predicting TBM tunneling efficiency.

Abstract: A system is provided for gathering information and data on the surface characteristics of an object includes a projector, a table, a first camera and a second camera. The projector is suspended above the table and arranged to project a random pattern of optical indicators onto the table. The optical indicators can be dots, lines, or other such indicators. The table is arranged to hold the object to be inspected. The first camera is positioned above and to one side of the table and angled toward the table. The second camera is positioned above and to opposite side of the table and angled toward the table. The first and second cameras are arranged to capture images of the optical indicators projected onto the object. The system is further arranged to gather information and data from the captured images and determine the surface characteristics of the object from said gathered information and data.

Abstract: A system is provided for gathering information and data on the surface characteristics of an object includes a projector, a table, a first camera and a second camera. The projector is suspended above the table and arranged to project a random pattern of optical indicators onto the table. The optical indicators can be dots, lines, or other such indicators. The table is arranged to hold the object to be inspected. The first camera is positioned above and to one side of the table and angled toward the table. The second camera is positioned above and to opposite side of the table and angled toward the table. The first and second cameras are arranged to capture images of the optical indicators projected onto the object. The system is further arranged to gather information and data from the captured images and determine the surface characteristics of the object from said gathered information and data.