An intelligent blasting vibration signal detection system and detection method thereof

Abstract

The present invention discloses an intelligent blasting vibration signal detection system, comprising a vibration signal acquisition subsystem and a vibration signal analysis and processing subsystem. The present invention also discloses a detection method for the intelligent blasting vibration signal detection system, comprising the following steps: blasting self-recording acquisition, sensor optical fiber signal acquisition, data transmission, data analysis, and modeling; the intelligent blasting vibration signal detection system proposed in the present invention adopts a dual-channel signal acquisition method to improve the accuracy of vibration signal acquisition and avoid signal loss caused by single-channel signal acquisition; the intelligent blasting vibration signal detection system is provided with a vibration signal analysis and processing subsystem, which is convenient for quickly processing the collected vibration signal and generating artificial seismic waves, so as to facilitate timely analysis and processing and avoid delaying the blasting schedule.

Description

Technical Field

[0001] The present invention relates to the technical field of blasting vibration signal detection, and in particular to an intelligent blasting vibration signal detection system and a detection method thereof. Background Art

[0002] When mining or demolishing buildings, blasting work is required. During the blasting work, vibration signals need to be collected. Distributed fiber optic vibration sensors based on coherent Rayleigh technology (Φ-OTDR) have become a research hotspot due to their incomparable advantages over traditional sensors. At present, this technology is mainly used in fence intrusion detection, long-distance oil and gas pipeline detection, border security and other fields, and has achieved good application results. However, as the detection distance increases, the optical signal becomes very weak, especially the backward Rayleigh scattered light signal becomes extremely weak, which brings great difficulties to the detection of the signal; and the collected vibration signal cannot be analyzed in time, affecting the progress of the blasting construction. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent blasting vibration signal detection system and a detection method thereof to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent blasting vibration signal detection system, comprising a vibration signal acquisition subsystem and a vibration signal analysis and processing subsystem, the vibration signal acquisition subsystem comprising a vibration sensing module, the vibration sensing module is provided with two output ends, the two output ends of the vibration sensing module are respectively connected to the receiving end of the analog amplification module and the detection signal amplification module, the output end of the analog signal amplification module is connected to the receiving end of the analog and digital output module, the analog and digital output module is provided with two output ends, the two output ends of the analog and digital output module are respectively connected to the receiving end of the resource library and the data conversion module, the output end of the data conversion module is connected to the receiving end of the storage module, the output end of the storage module is connected to the receiving end of the embedded micro-control circuit, the detection signal amplification module is connected to the receiving end of the embedded micro-control circuit, and the detection signal amplification module is connected to the receiving end of the embedded micro-control circuit. The sensing optical fiber is connected to the excitation signal amplification module, and the excitation signal amplification module is connected to the embedded micro-control circuit through the sensing optical fiber. The vibration signal analysis and processing subsystem includes a vibration signal analysis and processing program, and the output end of the vibration signal analysis and processing program is connected to the receiving end of the basic mathematical operation module, the output end of the basic mathematical operation module is connected to the receiving end of the digital signal analysis module, the output end of the digital signal analysis module is connected to the receiving end of the digital signal generation module, the output end of the digital signal generation module is connected to the receiving end of the drawing and display module, the output end of the drawing and display module is connected to the receiving end of the modal parameter identification module, the output end of the modal parameter identification module is connected to the receiving end of the module for generating artificial simulation seismic waves, and the output end of the module for generating artificial simulation seismic waves is connected to the receiving end of the strong earthquake acceleration record processing and analysis module.

[0005] Preferably, the vibration signal acquisition subsystem and the vibration signal analysis and processing subsystem are connected via a signal transmission module.

[0006] Preferably, the resource library transmits the signal to the data conversion module.

[0007] Preferably, the digital signal analysis module connection includes a signal time domain analysis module and a signal frequency domain analysis module.

[0008] Preferably, the vibration signal analysis and processing program adopts the GDSP vibration signal acquisition, processing and analysis program.

[0009] A detection method of an intelligent blasting vibration signal detection system comprises the following steps:

[0010] Step 1: blasting self-recording collection, the signal detected by the vibration sensor is sent to the analog signal amplifier, the microcontroller executes the working program in the EPROM, and converts the analog signal into a digital signal through A / D conversion and stores it in the PAM;

[0011] Step 2: Sensing optical fiber signal collection, connecting the vibration sensor and the detection signal amplifying device through the sensing optical fiber, connecting the detection signal amplifying device and the excitation signal amplifying device through the sensing optical fiber, and connecting the excitation signal amplifying device and the embedded micro-control circuit through the sensing optical fiber, so as to form the transmission of the vibration signal;

[0012] Step 3: Data transmission, the embedded microcontroller circuit transmits the vibration signal data obtained in step 1 and step 2 to the vibration signal analysis and processing program;

[0013] Step 4: Data analysis: the basic mathematical operation module calculates the received vibration signal, and analyzes the time domain and frequency domain through the mathematical signal analysis module. The analyzed data generates a digital signal and is plotted and displayed in a graphical form.

[0014] Step 5: Modeling. The image drawn in step 4 is used to identify modal parameters. After identification, artificially simulated seismic waves are generated, and the strong earthquake acceleration records therein are analyzed.

[0015] Compared with the prior art, the present invention has a reasonable structure, strong functionality and the following advantages:

[0016] 1. The intelligent blasting vibration signal detection system proposed in the present invention adopts a dual-channel signal acquisition method to improve the accuracy of vibration signal acquisition and avoid signal loss caused by single-channel signal acquisition;

[0017] 2. The intelligent blasting vibration signal detection system proposed in the present invention is provided with a vibration signal analysis and processing subsystem, which is convenient for quickly processing the collected vibration signals and generating artificial seismic waves, so as to facilitate timely analysis and processing and avoid delays in the blasting schedule. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a system block diagram of the present invention;

[0019] Figure 2 This is a block diagram of the vibration signal acquisition subsystem of the present invention;

[0020] Figure 3 This is a block diagram of the vibration signal analysis and processing subsystem of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0022] See also Figures 1 to 3 The present invention provides a technical solution: an intelligent blasting vibration signal detection system, comprising a vibration signal acquisition subsystem and a vibration signal analysis and processing subsystem, the vibration signal acquisition subsystem comprising a vibration sensing module, the vibration sensing module is provided with two output ends, the two output ends of the vibration sensing module are respectively connected to the receiving end of the analog amplification module and the detection signal amplification module, the output end of the analog signal amplification module is connected to the receiving end of the analog and digital output module, the analog and digital output module is provided with two output ends, the two output ends of the analog and digital output module are respectively connected to the receiving end of the resource library and the data conversion module, the output end of the data conversion module is connected to the receiving end of the storage module, the output end of the storage module is connected to the receiving end of the embedded micro-control circuit, the detection signal amplification module is connected to the excitation through the sensing optical fiber. The signal amplification module is connected, the excitation signal amplification module is connected to the embedded micro-control circuit through the sensing optical fiber, the vibration signal analysis and processing subsystem includes a vibration signal analysis and processing program, the output end of the vibration signal analysis and processing program is connected to the receiving end of the basic mathematical operation module, the output end of the basic mathematical operation module is connected to the receiving end of the digital signal analysis module, the output end of the digital signal analysis module is connected to the receiving end of the digital signal generation module, the output end of the digital signal generation module is connected to the receiving end of the drawing and display module, the output end of the drawing and display module is connected to the receiving end of the modal parameter identification module, the output end of the modal parameter identification module is connected to the receiving end of the module for generating artificial simulated seismic waves, and the output end of the module for generating artificial simulated seismic waves is connected to the receiving end of the strong earthquake acceleration record processing and analysis module.

[0023] The vibration signal acquisition subsystem and the vibration signal analysis and processing subsystem are connected through a signal transmission module, so that the collected vibration signal can be fed back to the analysis and processing system in a timely manner.

[0024] The resource library transmits the signal to the data conversion module, and the microcontroller executes the offline working program stored in the resource library and converts the analog signal into a digital signal through A / D conversion.

[0025] The digital signal analysis module connection includes a signal time domain analysis module and a signal frequency domain analysis module.

[0026] The vibration signal analysis and processing program adopts the GDSP vibration signal acquisition, processing and analysis program. The program is composed of different functional processing programs to form a complete signal processing system program. The program can analyze and process digital signals in the time domain and frequency domain, and can also perform basic mathematical operations on digital signals.

[0027] A detection method of an intelligent blasting vibration signal detection system comprises the following steps:

[0028] Step 1: blasting self-recording collection, the signal detected by the vibration sensor is sent to the analog signal amplifier, the microcontroller executes the working program in the EPROM, and converts the analog signal into a digital signal through A / D conversion and stores it in the PAM;

[0029] Step 2: Sensing optical fiber signal collection, connecting the vibration sensor and the detection signal amplifying device through the sensing optical fiber, connecting the detection signal amplifying device and the excitation signal amplifying device through the sensing optical fiber, and connecting the excitation signal amplifying device and the embedded micro-control circuit through the sensing optical fiber, so as to form the transmission of the vibration signal;

[0030] Step 3: Data transmission, the embedded microcontroller circuit transmits the vibration signal data obtained in step 1 and step 2 to the vibration signal analysis and processing program;

[0031] Step 4: Data analysis: the basic mathematical operation module calculates the received vibration signal, and analyzes the time domain and frequency domain through the mathematical signal analysis module. The analyzed data generates a digital signal and is plotted and displayed in a graphical form.

[0032] Step 5: Modeling. The image drawn in step 4 is used to identify modal parameters. After identification, artificially simulated seismic waves are generated, and the strong earthquake acceleration records therein are analyzed.

[0033] Working principle: The signal detected by the vibration sensor is sent to the analog signal amplifier, the microcontroller executes the working program in the EPROM, and converts the analog signal into a digital signal through A / D conversion and stores it in the PAM. The vibration sensor and the detection signal amplifier are connected by a sensing optical fiber, the detection signal amplifier and the excitation signal amplifier are connected by a sensing optical fiber, and the excitation signal amplifier and the embedded microcontroller circuit are connected by a sensing optical fiber, so as to form the transmission of the vibration signal and form a dual-channel vibration signal acquisition to improve the comprehensiveness of the signal acquisition. The embedded microcontroller circuit transmits the vibration signal data obtained in step one and step two to the vibration signal analysis processing program, the basic mathematical operation module calculates the received vibration signal, and analyzes the time domain and frequency domain through the mathematical signal analysis module. The analyzed data generates a digital signal and is drawn and displayed in a graphic form. The drawn image is used for modal parameter identification. After identification, an artificial simulated seismic wave is generated, and the strong earthquake acceleration record is analyzed.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent blasting vibration signal detection system, comprising a vibration signal acquisition subsystem and a vibration signal analysis and processing subsystem, characterized in that: The vibration signal acquisition subsystem includes a vibration sensing module, which is provided with two output ends. The two output ends of the vibration sensing module are respectively connected to the receiving ends of the analog signal amplification module and the detection signal amplification module. The output end of the analog signal amplification module is connected to the receiving end of the analog and digital output module. The analog and digital output module is provided with two output ends. The two output ends of the analog and digital output module are respectively connected to the receiving end of the resource library and the data conversion module. The output end of the data conversion module is connected to the receiving end of the storage module. The output end of the storage module is connected to the receiving end of the embedded micro-control circuit. The detection signal amplification module is connected to the excitation signal amplification module through a sensing optical fiber. The excitation signal amplification module is connected to the excitation signal amplification module through a sensing optical fiber. The optical fiber is connected to the embedded micro-control circuit, and the vibration signal analysis and processing subsystem includes a vibration signal analysis and processing program, the output end of the vibration signal analysis and processing program is connected to the receiving end of the basic mathematical operation module, the output end of the basic mathematical operation module is connected to the receiving end of the digital signal analysis module, the output end of the digital signal analysis module is connected to the receiving end of the digital signal generation module, the output end of the digital signal generation module is connected to the receiving end of the drawing and display module, the output end of the drawing and display module is connected to the receiving end of the modal parameter identification module, the output end of the modal parameter identification module is connected to the receiving end of the module for generating artificial simulation seismic waves, and the output end of the module for generating artificial simulation seismic waves is connected to the receiving end of the strong earthquake acceleration record processing and analysis module; The vibration signal acquisition subsystem and the vibration signal analysis and processing subsystem are connected via a signal transmission module; The resource library transmits the signal to the data conversion module.

2. The intelligent blasting vibration signal detection system according to claim 1, characterized in that: The digital signal analysis module connection includes a signal time domain analysis module and a signal frequency domain analysis module.

3. The intelligent blasting vibration signal detection system according to claim 1, characterized in that: The vibration signal analysis and processing program adopts the GDSP vibration signal acquisition, processing and analysis program.

4. A detection method using an intelligent blasting vibration signal detection system according to any one of claims 1 to 3, characterized in that The following steps are involved: Step 1: blasting self-recording collection, the signal detected by the vibration sensor is sent to the analog signal amplifier, the microcontroller executes the working program in the EPROM, and converts the analog signal into a digital signal through A / D conversion and stores it in the PAM; Step 2: Sensing optical fiber signal collection, connecting the vibration sensor and the detection signal amplifying device through the sensing optical fiber, connecting the detection signal amplifying device and the excitation signal amplifying device through the sensing optical fiber, and connecting the excitation signal amplifying device and the embedded micro-control circuit through the sensing optical fiber, so as to form the transmission of the vibration signal; Step 3: Data transmission, the embedded microcontroller circuit transmits the vibration signal data obtained in step 1 and step 2 to the vibration signal analysis and processing program; Step 4: Data analysis: the basic mathematical operation module calculates the received vibration signal, and analyzes the time domain and frequency domain through the mathematical signal analysis module. The analyzed data generates a digital signal and is plotted and displayed in a graphical form. Step 5: Modeling. The image drawn in step 4 is used to identify modal parameters. After identification, artificially simulated seismic waves are generated, and the strong earthquake acceleration records therein are analyzed.

Images