Deep tunnel time-delay rockburst accurate positioning method based on acoustoelectric technology

Abstract

The invention relates to the technical field of tunnels and underground engineering, in particular to a deep tunnel time-delay rockburst accurate positioning method based on the acoustoelectric technology, and the method comprises the steps: firstly, reasonably planning and arranging a topological structure of a sensor at key parts of a tunnel and underground engineering, building a micro-seismic monitoring system, and ensuring that key areas where rockburst may occur can be covered; the micro-seismic signals are processed and analyzed in real time, and a key monitoring area of a rock mass fracture damage area is determined; an artificial intelligence robot is used for carrying a portable and non-contact electromagnetic radiation monitoring instrument to carry out point location monitoring on the key area of the fracture damage area, and an axial fracture damage area is readjusted and determined according to the actual electromagnetic radiation intensity and the pulse number monitoring value; therefore, accurate positioning of the time-delay rockburst can be obtained; according to the method, micro-seismic and electromagnetic radiation signals in the time-delay type rockburst inoculation process can be monitored, and the accuracy of tunnel axial and radial rockburst positioning is improved; and a powerful guarantee is provided for safe construction of tunnels and underground engineering.

Description

Technical Field

[0001] The invention belongs to the field of tunnel and underground engineering disaster prediction, and specifically relates to a method for accurately locating a time-delay rockburst in a deep-buried tunnel based on acoustic-electric technology. Background Art

[0002] Dynamic disasters such as rock bursts are often encountered in tunnels and underground projects. In particular, time-delay rock bursts seriously threaten the safety of construction personnel and equipment, and greatly hinder the progress of on-site construction. Therefore, it is necessary to carry out real-time dynamic disaster warnings during the construction of tunnels and underground projects.

[0003] The purpose of microseismic monitoring is to assess the hazard of rock mass, and the general monitoring environment of rock mass engineering is very complex, with unfavorable geological conditions such as fracture zones, faults, karst caves and groundwater. Therefore, the stress wave emitted by each microfracture must pass through almost all of these solid, liquid and other materials before it can be received by the microseismic sensor. For underground projects with more underground caverns, the path of stress wave transmission is more complicated. However, the microseismic monitoring system only locates based on the existing wave velocity and the time difference to the sensor, without considering the intermediate process. This is the main reason for the current positioning errors of the microseismic system.

[0004] Electromagnetic radiation monitoring can effectively reflect the location and range of high stress areas around the rock mass, and can effectively provide early warning for rock dynamic disasters; the monitoring instrument is portable and non-contact, but it generally performs point monitoring. Using it for positioning not only has the disadvantages of being time-consuming and labor-intensive, but also makes it difficult to define the dangerous area of ​​time-lag rockbursts; therefore, a more effective method for precise positioning of time-lag rockbursts is needed to ensure the safety of underground projects. Summary of the invention

[0005] In view of the defects of the prior art, the present invention provides a method for accurately locating a time-lag rockburst in a deep-buried tunnel based on acoustic-electric technology. The method can accurately locate the time-lag rockburst in the axial and radial directions.

[0006] In order to achieve the above object, the technical solution of the present invention is:

[0007] A method for accurately locating a time-delay rockburst in a deep buried tunnel based on acoustic-electric technology comprises the following steps:

[0008] S1: Arrange microseismic sensor arrays at key locations of rock engineering and build a microseismic monitoring system; arrange sensor topology structures reasonably according to the scale and shape of underground engineering to ensure coverage of key areas where rock bursts may occur;

[0009] S2: Process and analyze microseismic signals in real time, filter and amplify the collected microseismic signals, remove noise and interference signals, and then use signal analysis technology to locate microseismic events and source parameter information such as magnitude and energy, and determine the key monitoring areas of rock mass fracture damage areas;

[0010] S3: Use an artificial intelligence robot to carry a portable, non-contact electromagnetic radiation monitoring instrument to conduct point monitoring of key areas of the rupture damage zone;

[0011] In the direction of the tunnel axis, with the key monitoring area determined by the microseismic monitoring equipment as the center, the measurement points are arranged in an iterative circle with a radius of R=R+1 (meter) outward, and the measurement point spacing is 1 meter, and the waveform of the measurement point is processed and analyzed; because electromagnetic radiation has electrical radiation intensity EMR, its size reflects the load degree of the rock mass; the number of pulses N reflects the frequency of rock mass damage; according to historical engineering data, the corresponding electromagnetic radiation intensity EMR and pulse number N warning thresholds are selected for different geological conditions and different excavation methods, and this threshold is used as the reference value for the termination of the iterative circle, and the axial rupture damage area is readjusted and determined according to the actual electromagnetic radiation intensity and pulse number monitoring values;

[0012] S4: Establish a database of rockburst electromagnetic radiation intensity and pulse number under different engineering backgrounds.

[0013]

[0014] Where, EMR is the electromagnetic radiation intensity, N is the number of pulses, a1 is the electromagnetic radiation intensity at measuring point 1, b1 is the number of pulses at measuring point 1, and n is the number of measuring points;

[0015] S5: Using artificial intelligence neural network, the error of microseismic events is adjusted according to the readjusted axial rupture damage zone, and the P-wave velocity, S-wave velocity and other parameters are continuously adjusted to make the microseismic events in the newly determined axial rupture damage zone; at this time, the radial position of the tunnel rupture damage zone can be determined according to the newly adjusted microseismic event positioning, so as to obtain the precise positioning of the time-lag rock burst.

[0016] Compared with the prior art, the gain effect of the present invention is:

[0017] The present invention adopts a method combining acoustic and electrical technologies, which can comprehensively and accurately monitor microseismic and electromagnetic radiation signals during the incubation of time-lag rockbursts, improve the accuracy of locating time-lag rockbursts in the axial and radial directions of the tunnel, and provide a strong guarantee for the safe construction of tunnels and underground projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of the precise location method for time-delay rockburst. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In order to more clearly illustrate the technical solutions and advantages of the present invention, the present invention is further described below.

[0021] A method for accurately locating a time-delay rockburst in a deep buried tunnel based on acoustic-electric technology comprises the following steps:

[0022] S1: In key parts of tunnels and underground projects, rationally plan and arrange sensor topology according to their size and shape, and build a microseismic monitoring system to ensure that key areas where rock bursts may occur are covered;

[0023] S2: Process and analyze microseismic signals in real time; filter and amplify the collected microseismic signals to remove noise and interference signals; then use signal analysis technology to locate microseismic events and source parameters and other information, and determine the key monitoring areas of rock fracture damage areas;

[0024] S3: Use an artificial intelligence robot to carry a portable, non-contact electromagnetic radiation monitoring instrument to conduct point monitoring of key areas of the rupture damage zone;

[0025] In the direction of the tunnel axis, with the key monitoring area determined by the microseismic monitoring equipment as the center, the measurement points are arranged in an iterative circle with a radius of R=R+1 (meter) outward, and the measurement point spacing is 1 meter, and the waveform of the measurement point is processed and analyzed; because electromagnetic radiation has electrical radiation intensity EMR, its size reflects the load degree of the rock mass; the number of pulses N reflects the frequency of rock mass damage; according to historical engineering data, the corresponding electromagnetic radiation intensity EMR and pulse number N warning thresholds are selected for different geological conditions and different excavation methods, and this threshold is used as the reference value for the termination of the iterative circle, and the axial rupture damage area is readjusted and determined according to the actual electromagnetic radiation intensity and pulse number monitoring values;

[0026] S4: Establish a database of rockburst electromagnetic radiation intensity and pulse number under different engineering backgrounds.

[0027]

[0028] Where, EMR is the electromagnetic radiation intensity, N is the number of pulses, a1 is the electromagnetic radiation intensity at measuring point 1, b1 is the number of pulses at measuring point 1, and n is the number of measuring points;

[0029] S5: Using artificial intelligence neural network, the error of microseismic events is adjusted according to the readjusted axial rupture damage zone, and the P-wave velocity, S-wave velocity and other parameters are continuously adjusted to make the microseismic events in the newly determined axial rupture damage zone; at this time, the radial position of the tunnel rupture damage zone can be determined according to the newly adjusted microseismic event positioning, so as to obtain the precise positioning of the time-lag rock burst.

[0030] The electrical radiation measuring equipment described in S3 monitors key areas, wherein an artificial intelligence robot is used to monitor electromagnetic radiation equipment in key hazardous areas; the measuring points are arranged with the key monitoring area determined by the microseismic monitoring equipment as the center, and a circle is drawn iteratively outward with a radius of R=R+1 (meters), and the measuring point spacing is 1 meter. The electromagnetic radiation intensity EMR and the pulse number N warning threshold are used as the reference value for the termination of the iterative circle.

[0031] The electromagnetic radiation intensity EMR and the pulse number N described in S4 are based on the engineering analogy method, and corresponding warning thresholds are established for different rock burst types (such as strain-type rock burst, strain-structural surface rock burst, etc.), different geological conditions and different excavation methods.

[0032] In key locations of tunnels and underground projects, the topological structure of microseismic sensors is rationally arranged according to their scale and spatial layout, and a microseismic monitoring system is built to ensure that key areas where time-delay rockbursts may occur are covered; the collected microseismic signals are filtered and amplified to remove noise and interference signals; signal analysis technology is then used to locate microseismic events and obtain information such as source parameters, and key monitoring areas in rock rupture and damage zones are determined.

[0033] An artificial intelligence robot carrying a portable, non-contact electromagnetic radiation monitoring instrument is used to conduct point monitoring of key areas in the rupture damage zone. In the direction of the tunnel axis, the key monitoring area determined by the microseismic monitoring equipment is taken as the center, and the measuring points are arranged in an iterative circle with a radius of R=R+1 (meter) outward. The measuring point spacing is 1 meter, and the waveforms of the measuring points are processed and analyzed. Because electromagnetic radiation has electrical radiation intensity EMR, its size reflects the degree of load on the rock mass; the number of pulses N reflects the frequency of rock mass damage. According to historical engineering data, the corresponding electromagnetic radiation intensity EMR and pulse number N warning thresholds are selected for different geological conditions and different excavation methods. This threshold is used as the reference value for the termination of the iterative circle, and the axial rupture damage area is readjusted and determined based on the actual electromagnetic radiation intensity and pulse number monitoring values.

[0034] The database of electromagnetic radiation intensity and pulse number of rockburst under different engineering backgrounds is statistically established, EMR = (a1 + a2 + ... + an) / n, N = (b1 + b2 + ... + b n) / n; using artificial intelligence neural network, the error adjustment of microseismic events is carried out according to the readjusted axial rupture damage zone, and the P-wave velocity, S-wave velocity and other parameters are continuously adjusted to make the microseismic events in the newly determined axial rupture damage zone; at this time, the radial position of the tunnel rupture damage zone can be determined according to the newly adjusted microseismic event positioning, so that the axial and radial directions of the time-delay rock burst can be accurately positioned.

[0035] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for accurately locating time-delay rockburst in a deep tunnel based on acoustic-electric technology, characterized by: The following steps are involved: S1: Plan and arrange sensor topology in key parts of tunnels and underground projects according to their size and shape, and build a microseismic monitoring system to ensure that key areas where rock bursts may occur are covered; S2: Process and analyze microseismic signals in real time; filter and amplify the collected microseismic signals to remove noise and interference signals; then use signal analysis technology to locate microseismic events and source parameters, thereby determining the key monitoring areas of rock mass fracture damage areas; S3: Use an artificial intelligence robot to carry a portable, non-contact electromagnetic radiation monitoring instrument to conduct point monitoring of key areas in the rupture damage area; In the direction of the tunnel axis, with the key monitoring area determined by the microseismic monitoring equipment as the center, the measurement points are arranged in a circle with a radius of R = R + 1 (meter) outwards, and the distance between the measurement points is 1 meter. The waveforms of the measurement points are processed and analyzed; because electromagnetic radiation has the electrical radiation intensity EMR, its size reflects the degree of load on the rock mass; The pulse number N reflects the frequency of rock mass damage. According to different geological conditions and different excavation methods, the corresponding electromagnetic radiation intensity EMR and pulse number N warning thresholds are selected, and this threshold is used as the reference value for the termination of the iteration circle. The axial rupture damage area is readjusted and determined according to the actual electromagnetic radiation intensity and pulse number monitoring values. S4: Establish a database of rockburst electromagnetic radiation intensity and pulse number under different engineering backgrounds. Where, EMR is the electromagnetic radiation intensity, N is the number of pulses, a1 is the electromagnetic radiation intensity at measuring point 1, b1 is the number of pulses at measuring point 1, and n is the number of measuring points; S5: Using artificial intelligence neural network, the error of microseismic events is adjusted according to the readjusted axial rupture damage zone, and the P-wave velocity, S-wave velocity and other parameters are continuously adjusted to make the microseismic events in the newly determined axial rupture damage zone; at this time, the radial position of the tunnel rupture damage zone can be determined according to the newly adjusted microseismic event positioning, so as to obtain the precise positioning of the time-lag rock burst.

2. The method for accurately locating time-delay rockburst in a deep buried tunnel based on acoustic-electric technology according to claim 1 is characterized by: The electrical radiation measuring equipment described in S3 monitors key areas, wherein an artificial intelligence robot is used to monitor electromagnetic radiation equipment in key hazardous areas; the measuring points are arranged with the key monitoring area determined by the microseismic monitoring equipment as the center, and a circle is drawn iteratively outward with a radius of R=R+1 (meters), and the measuring point spacing is 1 meter. The electromagnetic radiation intensity EMR and the pulse number N warning threshold are used as the reference value for the termination of the iterative circle.

3. The method for accurately locating a deep buried tunnel time-delay rockburst based on acoustic-electric technology according to claim 1 is characterized by: The electromagnetic radiation intensity EMR and the pulse number N described in S4 are based on the engineering analogy method, and corresponding warning thresholds are established for different rock burst types (such as strain-type rock burst, strain-structural surface rock burst, etc.), different geological conditions and different excavation methods.

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