The present disclosure relates to a half-cast mark identification and damaged flatness evaluation and classification method for blastholes in tunnel blasting, including the following steps: S1-2: photographing first and second contrast images as well as a half-cast mark image after blasting; S3-6: performing denoising, gray-scale processing and binary processing on the above images, and identifying a boundary of a half-cast mark in each of the images; S7-9: determining a flatness damage variable, a quantitative relation among an area of a half-cast mark region, the damage variable and a fractal dimension, and a damage value of the half-cast mark image; S10-11: forming five-dimensional (5D) eigenvectors to obtain multi-dimensional digital information features of the images; and S12-13: selecting eigenvectors of 60 images as training data to input to a naive Bayes classifier (NBC), and taking eigenvectors of remaining 30 images as classification data to input the above well-trained NBC for classification.

A cutting roller bearing part, formed as a component of a cutting roller holder for a cutting wheel of a tunnel boring machine, includes a load measuring unit disposed in a receiving space assembly including though lines which is hermetically sealed against an external atmosphere by external closures and a sealing element to provide accuracy and long-term stability for load measurements.

A cutting tool for a tunnel boring machine, including a tool head equipped with a wear sensor detachably connectable to a tool holder. A line arrangement having a wireless, connector-free coupling module between the tool head and the tool holder is provided for connecting the wear sensors to an evaluation module. In the event of wear, a tool head to be replaced may be removed from the tool holder and a new tool head may be connected to the tool holder.

The invention relates to a method (S10) for optimizing the characteristics of a tunnel boring machine, particularly a tunnel boring machine of the slurry pressure or VD type, said method comprising the following steps: S0: determining a ground/machine interaction model, S11: instantaneous measurement of the set of specific boring parameters of the tunnel boring machine, S13: determining the group of individuals corresponding to the boring parameters measured in step S11 by means of the ground/machine interaction model, S14: optimizing the characteristics of the tunnel boring machine as a function of the group of individuals thus determined.

A tunnel boring machine includes: a disc cutter including a cutter ring; and a member for use in measurement of a wear amount of the cutter ring with a three-dimensional shape measurement device, in which the member is provided at a part constant in relative position to the cutter ring.

An improved system of monitoring vibration of a blasting model test for a jointed rock mass and a method are provided. The system includes: a loading subsystem for three-way load, a model-surface blasting-vibration acquisition subsystem, and a model-interior dynamic stress-strain acquisition subsystem. The system and the method are provided, and a blasting model for a transparent jointed rock mass and a monitoring method that are obtained can analyze the influence of a joint inclination angle on propagation and attenuation laws of blasting stress waves in the jointed rock mass, and can analyze the influence of different millisecond blasting modes on the stability of an existing tunnel in the jointed rock mass, and can capture a real-time dynamic evolution process of cracks. The stress and strain measurement technologies used can perform omnibearing monitoring and recording for large deformations of surrounding rock under blasting load, and can resist the electromagnetic interference.

Described herein are new methods and systems for profiling tunnels. A method comprises moving a shuttle within a shuttle track extending between a boring apparatus (inside a tunnel) and a base station (outside the tunnel). The shuttle is equipped with a movement sensor, which records various movement parameters (e.g., linear and/or angular accelerations) while the shuttle moves within the shuttle track. These movement parameters are then transferred to a tunnel profiler (e.g., a base station) and the profile of the tunnel is determined based on these movement parameters. For example, a shuttle track can be a flexible tube (e.g., continuous or segmented) with the shuttle positioned within the tube. The shuttle can be removed from the tube or remain in the tube while the movement parameters are transferred and, in some examples, while the shuttle is recharged.

Provided is a method and an apparatus for real-time monitoring interaction between surrounding rocks and the TBM in a TBM tunneling process. Interaction between target objects is monitored by one or more sensors to obtain test data. A first electronic device connects a collecting module with the one or more sensors through a communication serial interface of the one or more sensors. A connection state between the one or more sensors and the collecting module is judged. The connection abnormality information is recorded or the collection parameters according to the connection state are set. The first electronic device judges the collection state by monitoring the collection, and records collection abnormality information or performs one-time collection of data according to the collection state. The first electronic device stores the data in a first storage folder. A second electronic device analyzes the data, and transmits the data to a monitoring device.

A safe early warning method and device for full-section tunneling of a tunnel featuring dynamic water and weak surrounding rock, comprising establishing a dynamic coordinate system with an origin thereof moving along a tunnel excavation line, recording the moving distance of the origin, conducting three-dimensional laser scanning with the origin as a center to obtain point cloud data including coordinate data, collecting surrounding rock data; conducting deformation fitting on the point cloud data, calculating a fitting residual error, removing a noisy point, and conducting preprocessing; combining data of preprocessed point cloud, surrounding rock, and the tunnel excavation line to construct a tunnel excavation dynamic model; conducting stress analysis according to the model and determining whether to send out a safety early warning signal. The device comprises a three-dimensional laser scanner, a geological radar device, a displacement module, an industrial computer, a data transmission module, an alarm, and a server.

A drilling device for surveying front rock-mass intactness of a tunnel face for a tunnel constructed by a TBM and a method using the same are provided. The drilling device includes a drilling assembly, a drill-attitude control assembly, a data monitoring assembly and a TBM-platform fixing seat. The drilling assembly is connected to a TBM hydraulic system to obtain power, to drill the rock mass by an alloy bit through rotation and translation thereof. The drill-attitude control assembly controls an angle, a direction and a position of a drill rod and maintains drilling accuracy and stability. The data monitoring assembly acquires and stores a drilling dynamic-response signal by a high-accuracy sensor and a data recorder, to analyze an intactness characteristic of the rock mass. The TBM-platform fixing seat mounts the drilling device on the TBM.