568 results about "Geophone" patented technology

The invention relates to the technical field of information processing, in particular to a mine microseism positioning control system and method.The mine microseism positioning control method comprises the steps that microseism signals are synchronously collected through a geophone, an accelerometer, an acoustic emission sensor and an optical fiber sensor, and data timestamps are aligned based on a GPS / Beidou clock; blind source separation is carried out on the signals after wavelet filtering, independent seismic source components are extracted, multi-sensor features are fused through a graph neural network, and a space-time joint feature matrix is constructed; classifying micro-seismic event types by using a ResNet-LSTM hybrid model, generating a seismic source coordinate initial solution based on deep reinforcement learning, and iteratively converging to an optimal solution through a particle swarm optimization algorithm; and mapping a positioning result to a three-dimensional geological grid model, simulating an energy diffusion path, triggering a three-level alarm according to the event energy density, and automatically pushing an emergency instruction to a mine safety management system. Therefore, the problem of low precision of the existing mine microseism positioning control system is solved.

The invention discloses a mine microseismic event self-positioning method and a mine microseismic event self-positioning system without a prior velocity structure, which realize integration of underground velocity structure inversion and seismic source positioning by jointly utilizing microseismic signals and surface wave interference noise generated in a mining process. Comprising the following steps: arranging an earth surface detector array to collect micro-motion and micro-seismic mixed signals; extracting a surface wave dispersion curve to invert a stratum S-wave velocity model, and further constructing a P-wave velocity model when the stratum Poisson's ratio in the geological data is known; carrying out seismic phase pickup after carrying out noise reduction on the microseismic signal, and obtaining first arrival time of a P wave and an S wave; and constructing a target function taking the first arrival time, the seismic source position, the seismic moment and the velocity model as parameters, and optimizing the target function to realize accurate positioning. According to the method, early-stage field acoustic logging construction of a mine is avoided, surface wave interference noise is fully utilized, the utilization rate of monitoring data is improved, and mine microseism event positioning without a prior speed structure is achieved.

The invention provides a tunnel arch wall detection device and method, relates to the field of seismic survey, and aims to solve the problem that seismic survey elements are inconvenient to arrange in a tunnel at present, a loading assembly is carried by an unmanned aerial vehicle, a rod type structure is utilized to adapt to the tunnel space, and the arrangement problem of equipment in a narrow space is solved. Geophones of the wave detection assembly can be firmly pasted on the tunnel arch wall after being glued through a gluing structure, the arrangement accuracy and reliability are improved, the shock excitation assembly is directly installed on the loading assembly, the unmanned aerial vehicle is used for driving the shock excitation assembly to adjust the position to reach the needed shock excitation position, it is ensured that seismic waves can accurately act on the tunnel arch wall, and the shock excitation efficiency is improved. And the detection precision is improved.

A method can include receiving seismic survey data of a subsurface environment from a seismic survey that includes a source arrangement of sources that is spatially denser than a receiver arrangement of receivers; processing the seismic survey data using the principle of reciprocity for performing interpolation across the receivers to generate processed seismic survey data; and generating an image of at least a portion of the subsurface environment using the processed seismic survey data.

The invention discloses a moving-coil geophone zero-phase corrector based on a state variable shaper. The zero-phase corrector comprises a state variable shaper, a differential-to-single-ended module and a single-ended-to-differential module. After a moving-coil geophone signal is input into a differential signal, the signal is converted into a single-ended signal suitable for filtering through the differential-to-single-ended module, and a high-pass filter, a band-pass filter and a low-pass filter in the state variable shaper correct the phase characteristic of the frequency response of the geophone to a zero-phase attribute. And finally, the single-ended to differential module converts the single-ended signal into a differential signal again and outputs the differential signal. The phase characteristic correction method can be used for phase characteristic correction of differential signals of the moving-coil geophone, low-frequency response can be expanded while the phase is corrected by changing resistance value adjustment, gain stability in the original bandwidth is kept, phase characteristic correction is provided for output of the moving-coil geophone with different frequencies and amplitudes, and the correction precision of the moving-coil geophone is improved. And the accuracy of the detector signal phase is improved.

The invention discloses an underground space unmanned sensing detection system and method. An unmanned detection carrier platform obtains underground space surface data through a sensing radar holder and an unmanned aerial vehicle; then determining a detection target area according to the acquired data and planning a driving path; meanwhile, ad-hoc network relay nodes are placed at different positions on the unmanned detection carrier platform through a mechanical arm in combination with signal strength, an ad-hoc network is finally formed, and normal communication of the unmanned detection carrier platform and the unmanned aerial vehicle in the underground space is guaranteed; when the unmanned detection carrier platform travels to a target area, a seismic observation system is formed by arranging node type detectors, and an active seismic source and a transient electromagnetic detection device are respectively started, so that seismic wave data and transient electromagnetic data of the target area are obtained; according to the method, perception modeling of the underground space can be realized in an unmanned mode, and the overall detection data of the underground space can be accurately acquired, so that subsequent analysis and processing of the underground space data are facilitated.

The invention relates to a shallow sea seabed node redirection method based on first arrival polarization characteristic constraint, a medium and equipment, and belongs to the technical field of geophysical exploration data processing. The method comprises the following steps that a common detection point gather is extracted from four-component seismic data collected in a simulated or field mode, first arrival time and a propagation azimuth angle are obtained, and a target function is constructed according to seismic record energy distribution, polarization characteristics and P and Z component correlation common constraint in a first arrival time window; solving orientation parameters; and performing orientation correction on seismic data acquired by the seabed nodes. Besides, the detector is redirected by comprehensively utilizing the energy, the polarization characteristic and the P and Z component correlation of the first-motion wave, so that the problems of application condition limitation and insufficient precision existing in a conventional method for redirecting by only utilizing the direct wave and multiplicity of solutions existing in a reflected wave energy method can be solved.

The invention discloses a mining-while-digging earthquake advanced detection system based on distributed optical fiber acoustic sensing. Relates to the technical field of seismic exploration. On the basis of a distributed optical fiber acoustic sensing technology, mining-while-digging seismic detection of a working face is realized by utilizing vibration generated by cutting a coal rock stratum by mining machinery. In the production process, the detector collects vibration data of mining machinery and transmits the vibration data to the server through a network; optical cables are arranged on two sides of a coal face upper and lower crossheading or two sides of a driving face roadway; the demodulator emits pulse laser and transmits the pulse laser to the working face optical cable through the industrial looped network or the independent fiber core, vibration of measuring points at equal intervals of the optical cable is measured, and a measuring data packet is returned to the demodulator through the industrial looped network or the independent fiber core; the demodulator demodulates vibration waveform data and uploads the vibration waveform data to the server; server data processing software carries out noise reduction processing on the waveform, then stores and images the waveform, carries out real-time intelligent interpretation, and realizes detection of a geological structure and an abnormal area in front of a working face.

The invention relates to a coal mine underground roadway surrounding rock state monitoring and catastrophe early warning method, and belongs to the technical field of coal mine safety monitoring. Aiming at the problems of data isolation, response lag and inaccurate catastrophe positioning in the prior art, the invention provides a cooperative monitoring scheme fused with multi-source sensing: constructing a polygon monitoring network through an ad hoc network geophone to perceive surrounding rock deformation in real time, and capturing fracture development characteristics in combination with an anchor rod multi-point separation layer displacement sensor; the millimeter wave radar is triggered to dynamically scan the abnormal area; and a data fusion algorithm is adopted to analyze the deformation gradient and the strain tensor, and accurate positioning of a catastrophe position and evolution trend prediction are realized. The method has the technical effects that the limitation of a single monitoring technology is broken through, the catastrophe positioning precision and the early warning timeliness are synchronously improved, and multi-dimensional decision support is provided for stability evaluation of deep roadway surrounding rocks.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.

The invention discloses a tunnel earthquake advanced detection method based on observation system optimization and angle domain reverse time migration imaging, and the method specifically comprises the steps: 1, setting an observation system with the same shot-geophone point in a tunnel, and carrying out the collection of a tunnel earthquake record; 2, constructing a rectangular grid geologic model; 3, solving a tunnel seismic source seismic wave field; 4, solving a tunnel detector seismic wave field, and obtaining a tunnel reverse time migration imaging result; step 5, solving a Poynting vector # imgabs0 # of the seismic wave field of the tunnel seismic source and a Poynting vector # imgabs1 # of the seismic wave field of the tunnel detector; step 6, obtaining a tunnel seismic source seismic wave field and a tunnel detector seismic wave field of an angle domain; and step 7, obtaining a high-precision imaging result. According to the method, the imaging precision of tunnel advanced detection can be effectively improved, so that the front geological structure can be identified more accurately.

The invention discloses a well-ground combined enhanced micro-seismic positioning method and device, a medium and a product, and relates to the field of micro-seismic positioning, and the method comprises the steps: obtaining first waveform data and second waveform data of a to-be-positioned micro-seismic event of a target coal mine in a set time period; the first waveform data is monitored by a ground station; recording the second waveform data by using an optical fiber detector; preprocessing the first waveform data and the second waveform data to obtain processed first waveform data and processed second waveform data; according to the processed first waveform data and the processed second waveform data, determining a seismic source position of a to-be-positioned micro-seismic event of the target coal mine by using a well-ground combined enhanced micro-seismic positioning model; wherein the well-ground combined enhanced micro-seismic positioning model is obtained by training an initial model by using a training data set; the initial model comprises a graph convolutional network, a convolutional neural network and a prediction network which are connected in sequence. The coal mine micro-seismic positioning precision is improved.

The invention discloses a dam disease three-dimensional nondestructive detection method, a storage medium and computer equipment, and relates to the technical field of geophysical detection.The dam disease three-dimensional nondestructive detection method mainly comprises the steps that a seismic source and a detector are used for detecting a target dam to obtain seismic data; obtaining first arrival travel time by using an improved self-correlation constraint energy ratio method, constructing an underground medium wave impedance initial model by using a back projection algorithm, performing forward modeling calculation to obtain theoretical travel time, and correcting an average slowness value in each grid by using a joint iteration method to obtain a corrected underground medium wave impedance model; and stopping iteration when the iteration is ended to obtain a dam disease three-dimensional nondestructive detection result. By implementing the dam disease three-dimensional nondestructive detection method, the storage medium and the computer equipment provided by the invention, the position of a dam hidden danger can be quickly, efficiently and accurately detected.

The invention relates to the field of seismic source monitoring, and discloses a double-bubble seismic source monitoring method based on water seismic exploration, which comprises the following steps: deploying a geophone array in a target sea area, recording seismic wave data generated by double bubbles by the geophone array, and taking frequency data of seismic waves as first target monitoring data; the seismic source identification module is used for identifying a seismic source, positioning the position of the seismic source by taking the propagation speed of the seismic wave as second target monitoring data and analyzing the time when the seismic wave reaches different detectors, respectively analyzing the amplitude attenuation characteristic change of the seismic wave in the propagation process and the propagation path of the seismic wave, and evaluating and analyzing the seismic scale; the earthquake risk level is evaluated, the earthquake occurrence probability is calculated based on the evaluated earthquake risk level, the accuracy of seismic source data acquisition is improved, the position of the seismic source can be accurately identified and positioned, and thus the accuracy of seismic probability prediction is improved.

The invention discloses a seismic data acquisition device based on a ground 3C-DAS optical cable and an acquisition method thereof, is applied to the field of seismic exploration, and aims to solve the problems of high layout cost, too long construction time and low operation efficiency of an existing ground three-component detector. According to the method, a 3C-DAS armored optical cable is buried under a shallow earth surface in a parallel or orthogonal mode, a ground multichannel low-frequency DAS modulation-demodulation instrument collects phase data of Rayleigh scattering light reflected back from the 3C-DAS armored optical cable and carries out modulation-demodulation processing, and high-density distributed three-component seismic data distributed along the 3C-DAS armored optical cable is obtained; according to the system, high-density distributed three-component ground seismic data along the armored optical cable can be rapidly and efficiently acquired at low cost; the invention also provides a processing method for the collected high-density distributed three-component ground seismic data, an analysis method for a shallow surface velocity structure with high spatial resolution, and an inversion imaging method for longitudinal waves, transverse waves and surface waves.

The utility model relates to the technical field of geological exploration, in particular to a geophysical exploration geophone which comprises a geophone body and a plurality of mounting supports, the mounting supports are mounted outside the geophone body, a plurality of guide wheels are mounted on the mounting supports, and the guide wheels are used for supporting the geophysical exploration geophone to the inner wall of a ground hole. The possibility that the detector body directly impacts the inner wall of the hole or is scratched by the inner wall of the hole can be reduced, the possibility that the detector body is damaged is reduced, and the service life is prolonged.

The present invention provides a method and device for seismic exploration data acquisition, which relates to the technical field of geophysical exploration. The method includes: obtaining construction area information; determining grid information according to the construction area information; the grid information includes a grid spacing value and a grid shape parameter; randomly generating target position information in each grid according to the grid spacing value and the grid shape parameter; the target position is used to arrange geophone points or shot points; and acquiring seismic exploration data by using the target position information. The present invention acquires seismic exploration data by using the target position information, and the target position information is geophone point position information or shot point position information, which is randomly generated in the grid of the construction area. Therefore, the distribution of geophone points and shot points can be made overall uniform and locally random, thereby reducing migration noise and improving imaging accuracy.

The invention discloses an intelligent positioning method and system for a microseism event. Intelligent positioning of the microseism event is realized by combining a convolutional neural network and probability density function mapping. Comprising the following steps: according to a work area speed model, generating four-dimensional training data representing detector coordinates and seismic phase arrival time and a three-dimensional label representing a seismic source position through Poisson disk sampling and a Gaussian probability density function; designing a convolutional neural network structure, optimizing network weight through back propagation, and constructing a micro-seismic event intelligent positioning model; and inputting actual data into the positioning model to obtain probability density distribution of the seismic source in a three-dimensional space, and finally outputting a high-precision seismic source positioning result through peak value extraction. According to the method, the observation system is creatively integrated into network input, and the strong nonlinear feature extraction capability of the convolutional neural network is combined, so that the generalization capability of the positioning model to different observation systems and the robustness to detector coordinate deviation and arrival time error are remarkably improved.

The invention relates to the technical field of geological exploration, and discloses a thick loess highland coal field three-dimensional seismic exploration method, which comprises the following steps: S101, acquiring an artificial seismic source shot seismic record and superficial Rayleigh wave detector data; s102, performing grid division on the target area, and setting parameters to be inverted; s103, performing vertical ray path time estimation, multi-layer medium dispersion forward modeling and post-stack energy estimation; s104, generating a multi-target error function according to the head wave arrival time observation value, the Rayleigh wave observation dispersion curve, the theoretical ray path time, the phase velocity and the post-stack energy; s105, dividing the target region into three sub-regions, and performing differential evolution iteration until local convergence; s106, establishing a plurality of parallel annealing chains, setting chain temperatures, progressively decreasing the chain temperatures, optimizing to-be-inverted parameters, and outputting optimal to-be-inverted parameters; and S107, calculating the static correction time difference and the absorption compensation coefficient of each acquisition point. The coal seam structure imaging precision and the exploration data reliability under the complex earth surface condition are improved.

The invention discloses a buried non-metal pipeline depth positioning method based on acoustic mutual information, and relates to the field of buried pipeline detection, and the method comprises the following steps: firstly, testing the wave velocity in a pipeline-free region, and calculating the wave velocity of longitudinal waves according to the ratio of the distance between longitudinal wave detectors to the delay time of a received signal, and the Poisson's ratio of soil; sound wave signals are collected in a pipeline area; at the same time, de-noising the received signal by using ensemble empirical mode decomposition combined with a wavelet threshold algorithm; a reflected longitudinal wave signal is extracted; establishing a rectangular coordinate system, dividing a measuring surface and calculating longitudinal wave propagation time; in addition, calculating a frequency domain mutual information superposition value to obtain a superposition value matrix; and finally, imaging by using the superposition value matrix to determine the depth of the pipeline. According to the method, the effect of positioning the depth of the buried pipeline is good, the method is not limited by geological conditions, and a reliable technical means is provided for depth positioning of the buried non-metal pipeline.

The invention belongs to the technical field of remote detection acoustic logging migration imaging, and particularly relates to a high-precision iteration reverse time migration method and system for remote detection acoustic logging. The method comprises the following steps: collecting remote detection acoustic logging data, and processing the remote detection acoustic logging data to obtain reflected wave actual measurement data; performing remote detection reverse time migration processing on the reflected wave actual measurement data to obtain an initial imaging result; establishing a wave equation based on the initial imaging result, and solving the wave equation to obtain reflected wave prediction data; obtaining residual data according to the reflected wave prediction data and the reflected wave actual measurement data; and carrying out wave field back propagation by taking the residual data as a geophone source, constructing an imaging gradient and obtaining an imaging result. According to the method, the reverse time migration is used for replacing Kirchhoff migration and F-K migration commonly used in remote exploration acoustic logging actual data processing, vertical speed change in a logging observation system can be better adapted, and low-dip-angle fracture-cavity migration homing is achieved.

The invention relates to a seismic scattered wave field forward modeling method and device, a medium, electronic equipment and a product, and the method comprises the steps: dividing a speed model into a plurality of thin layers from the top of the model to the bottom of the model in a depth direction, acquiring downlink scattered wave data and primary uplink scattered wave data corresponding to each thin layer in a first propagation direction from the top of the model to the bottom of the model along a second propagation direction by using a high-order generalized screen continuation operator based on the Muller model, primary uplink scattered wave data reserved in the first direction is used as an initial value, primary uplink scattered wave data corresponding to each thin layer in the second propagation direction is obtained through the high-order generalized screen continuation operator, and the second propagation direction is the direction from the bottom of the model to the top of the model; and determining a forward modeling seismic record of the detector position according to the uplink scattered wave data corresponding to each thin layer in the second propagation direction. According to the method, the accuracy of forward modeling of the seismic scattered wave field in the viscoacoustic medium can be improved.

The invention discloses an electric spark source multi-wave micro-logging system and method, and relates to the technical field of seismic exploration, in particular to an electric spark source multi-wave micro-logging system which comprises a cable, a transverse wave converter, a seismic recorder, an electric spark source, a first three-component detector, a second three-component detector and a longitudinal and transverse wave data processing system. An electric spark electrode column is longitudinally arranged in an inner cavity of the transverse wave converter; after being started, the electric spark source discharges through an electric spark electrode column, water molecules at the position where the electric spark electrode column is located are electrolyzed to generate gas through discharging of the electric spark electrode column, the gas impacts a stratum to generate seismic waves, and a first three-component detector and a second three-component detector receive and record seismic wave signals and transmit the seismic wave signals to a longitudinal and transverse wave data processing system; the depth of the transverse wave converter and the depth of the electric spark electrode column are increased by pulling the mooring rope, so that the electric spark electrode column can excite a seismic source at a plurality of observation points, and the purpose of exciting the seismic source for multiple times is achieved.

The invention relates to an adaptive temperature compensation technique for an electrochemical geophone. Through the combination of frequency response self-calibration and a variable feedback compensator system, a method capable of compensating the frequency response of the detector under different temperature conditions is provided. According to the method, the frequency response of the detector is measured in real time by using a sweep frequency vibration test signal generated by an excitation coil, feedback parameters are updated online through a digital signal processing technology, compensation is performed in a low-frequency band, and meanwhile, a multi-stage series compensation system is introduced to further improve the temperature compensation effect of a high-frequency band. According to the method, the frequency response temperature drift is remarkably reduced, and the acquisition quality and reliability of the seismic data are improved.

The invention discloses a mine vector excitation and slot wave receiving system and an exploration method thereof. The mine vector excitation and slot wave receiving system comprises a slot wave excitation device and a slot wave receiving device, the slot wave excitation device comprises a plurality of phase control array excitation units, and each phase control array excitation unit is composed of a plurality of controllable CO2 seismic sources which are linearly arranged at equal intervals; the slot wave receiving device comprises a plurality of detectors, when slot wave detection is carried out, slot waves are excited through the controllable CO2 seismic sources in the phase control array excitation units, the slot waves pass through a coal seam from a roadway on one side to reach a roadway on the other side to be received by the detectors, and coal seam exploration data are obtained. According to the invention, by arranging the plurality of phase control array excitation units and delaying phase control vector excitation, accurate detection and positioning of the concealed structure in the coal seam can be realized on the premise of ensuring safe construction and a relatively large detection range.

The invention discloses an omnidirectional geophone inclination angle calibration method and system, and a computing device. The method comprises the following steps: enabling an X component, a Y component and a Z component of an omnidirectional geophone to coincide with an X axis, a Y axis and a Z axis of an accelerometer respectively; the polarity of each component of the omnidirectional geophone is correspondingly consistent with that of each component of the accelerometer; the positive and negative directions of the X axis, the Y axis and the Z axis of the accelerometer are made to coincide with the gravity acceleration direction, and acceleration values output by the accelerometer in the six postures are obtained; calculating an acceleration calibration coefficient of the accelerometer based on the obtained acceleration value; based on the acceleration calibration coefficient, calibrating an acceleration value output by the accelerometer in any attitude; calculating an inclination angle value of the omnidirectional geophone based on the calibrated acceleration value; and calculating a seismic data calibration matrix of the omnidirectional geophone based on the dip angle value and calibrating seismic data output by the omnidirectional geophone. The method can eliminate the influence of the attitude of the omnidirectional detector on the output seismic data.

The invention belongs to the field of seismic data processing, and discloses a seismic data augmentation method and system based on an adversarial network and semi-supervised learning, and the method comprises the steps: collecting a seismic signal through a seismic detector, obtaining time series data, and obtaining real seismic data after data preprocessing; generating unlabeled seismic data according to the real seismic data and the constructed data generation module; marking the unmarked seismic data by using the constructed data marking module to obtain seismic data with a pseudo tag; and forming a new seismic data set by manually marking the seismic data with the labels and the seismic data with the pseudo labels so as to realize the augmentation of the seismic data. On the premise of ensuring the data quality, the seismic data set construction efficiency is greatly improved, and powerful data support and technical guarantee are provided for seismic signal processing.

The invention provides a sandstone type uranium mine seismic exploration device and method, and the device comprises a plurality of artificial seismic sources and a plurality of detectors which are disposed on the ground surface of a detected region. The detector comprises at least three detection units. Each detection unit comprises a support, a fixing piece, a detection piece and a guide rail. The fixing piece is connected with the support, the guide rail is connected with the support, the detection piece is movably connected with the guide rail, the fixing piece is parallel to the detection piece, and the orthographic projection of the fixing piece and the orthographic projection of the detection piece are overlapped in the thickness direction of the detection piece. The earth surface grid is used for separating the earth surface of the measured area along the first reference direction and the second reference direction; the surface grid comprises a plurality of grid nodes; the artificial seismic sources are arranged on the grid nodes in an array mode in the first reference direction and the second reference direction, and a plurality of grid nodes are arranged between every two adjacent artificial seismic sources; and the detectors are arranged at the other grid nodes. The accuracy of the exploration result can be improved.

The invention discloses a viscoelastic wave reverse time migration imaging method based on finite difference algorithm solution, and the method comprises the steps: S1, combining with the complex modulus of a constant Q model, and deriving a viscoelastic wave attenuation equation suitable for finite difference algorithm solution through introducing weighting function approximation; s2, establishing a viscoelastic wave compensation equation by introducing a compensation item for compensating energy attenuation when seismic waves are propagated in a viscoelastic medium, and combining the wave field compensation item with low-pass filtering for calculation to realize stable compensation of a wave field; s3, performing longitudinal and transverse wave field separation on the seismic source wave field and the detector wave field; s4, applying a seismic source normalization cross-correlation imaging condition to the separated wave field to obtain an attenuation compensation reverse time migration imaging result; and S5, setting a seismic wave excitation source and a signal receiving device for wave field data acquisition. The method provided by the invention can effectively improve the precision and resolution of seismic imaging in the viscous medium.

The invention provides a coal mine tunneling roadway micro-seismic detector arrangement method, and relates to the technical field of coal mine micro-seismic monitoring, and the method comprises the steps: constructing an advanced horizontal high-position drill hole and an advanced horizontal low-position drill hole with different depths and different directions in a top plate in front of a tunneling head corresponding to a coal mine tunneling roadway, an advanced horizontal deep-position drill hole and an advanced horizontal shallow-position drill hole which are different in depth and direction are constructed in a front bottom plate, and a detector which can flow along with tunneling of a working face is mounted on a top plate anchor rod behind a tunneling head; and on the basis of detectors installed in the advanced horizontal high-position drill hole, the advanced horizontal low-position drill hole, the advanced horizontal deep-position drill hole and the advanced horizontal shallow-position drill hole, and a flowable detector, a micro-seismic platform net of the heading head area is constructed. Therefore, all-dimensional three-dimensional monitoring of the microseismic detector is realized in the heading head area, the microseismic platform net arrangement quality of the heading head area is improved, and the microseismic positioning precision and monitoring quality of the heading head area are improved.