854 results about "Geophone" patented technology

A gait analysis is provided by passively sensing footstep-induced floor vibrations during walking using vibration sensors mounted on, within or under a floor. The approach is non-intrusive, scalable, and perceived as more privacy-friendly, making it suitable for continuous gait health monitoring in daily life. The floor vibration-based gait analysis framework estimates various gait parameters, including temporal parameters (step, stride, stance, swing time) and spatial parameters (step length, width, angle), and extracts gait health indicators (cadence / walking speed, left-right symmetry, gait balance, initial contact type).

The embodiment of the invention provides a seismic wave detection method and system, electronic equipment and a storage medium, and belongs to the field of seismic wave engineering detection. The method comprises the steps that seismic sources and detectors are arranged in advance according to actual working conditions, seismic waves are excited at the positions of the seismic sources, and seismic wave data are collected through the detectors; based on seismic wave data, solving a time fractional order viscoelastic acoustic wave equation by using a short memory fast algorithm so as to simulate the propagation behavior of seismic waves in a real stratum medium; and performing Bayesian full waveform inversion and reverse time migration imaging based on the seismic wave data to obtain a stratum structure and stratum characteristics. The memory effect of a time fractional order viscoacoustic wave equation is reasonably simplified through a short memory fast algorithm, so that the storage requirement for wave field historical data is reduced, efficient numerical solution is achieved, on the premise that precision is guaranteed, memory occupation is greatly reduced, and the cost is reduced. And the time fractional order viscoelastic acoustic wave equation has higher operability and calculation efficiency in engineering application.

The invention provides a coal mining whole process advanced detection method and system, and belongs to the technical field of coal mining advanced detection. The method comprises the steps that a seismic source used for generating seismic signals is arranged in a coal mine area, and a detector is arranged in a coal seam; obtaining a seismic signal collected by the detector, and performing denoising processing on the seismic signal by using a wavelet threshold denoising method; constructing a forward modeling model by using a viscoelasticity forward modeling method based on the seismic signals subjected to denoising processing; performing inversion calculation on the forward model to generate an inversion speed model, and performing reverse time migration imaging on the inversion speed model to generate an imaging result; and analyzing and judging geological conditions of the coal mining area according to an imaging result, and carrying out early warning according to an analysis and judgment result. According to the invention, a high-precision imaging result of mining area geology is constructed by using a reverse time migration imaging technology, so that the accuracy and effectiveness of geological detection of coal mine engineering are comprehensively improved.

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 three-dimensional crustal stress field visualization construction method under a complex geological structure condition, and relates to the technical field of crustal stress field analysis. Comprising the following steps: in a to-be-analyzed area, obtaining characteristic data such as density and Poisson ratio of a surface rock-soil layer, a sedimentary layer, a parent material layer and a bedrock layer through well drilling; applying seismic waves, acquiring longitudinal wave and transverse wave speeds of each rock-soil layer by using a geophone, and calculating a shear modulus and a bulk modulus; and establishing a finite element model to analyze the strain tensor under the load, and calculating the stress tensor in combination with the modulus. Calculating pore water pressure, and correcting the stress tensor to obtain effective stress. Fault feature information is obtained through a geological report, and the stress tensor is further corrected to obtain accurate and effective stress. And constructing a three-dimensional geologic model and dividing grids, mapping accurate and effective stress to each grid unit, and completing visual construction of the crustal stress field by utilizing visual software. Safety and economic benefits are effectively improved, and risks caused by geological factors are reduced.

The invention relates to the technical field of coal mine hydrological monitoring, in particular to a combined monitoring method based on directional drilling underwater coal mining dynamic fracture development. The method comprises the following steps: determining the predicted height of a water-flowing fractured zone, and obtaining a target horizon according to the predicted height of the water-flowing fractured zone; the position of a key layer is determined according to the target layer, and a ground drilling position is arranged on the ground; drilling according to the ground drilling position, the key layer and the target layer; when the hole is drilled to the target horizon, the water flowing fractured zone development height of the to-be-detected working face is obtained and recorded as the drilling water flowing fractured zone development height; arranging an underground detector, determining the development height of the water-flowing fractured zone according to the underground detector, and recording the development height as the development height of the micro-seismic water-flowing fractured zone; and acquiring the development height of the detected water-flowing fractured zone based on the development height of the drilling water-flowing fractured zone and the development height of the micro-seismic water-flowing fractured zone. Directional drilling and micro-seismic monitoring are combined, the water flowing fractured zone is comprehensively analyzed, and the accuracy of an analysis result is improved.

The invention relates to the technical field of logging while drilling, and discloses a near-bit stratum detection method, system and device, electronic equipment and a medium, and the method comprises the steps: transmitting a seismic wave to a to-be-detected stratum in front of a drill bit through an underground vibroseis, and receiving a reflected wave signal of the to-be-detected stratum through a geophone; calculating the relative position of the stratum in front of the drill to the drill in real time according to the reflected wave signal; acquiring a first lithologic seismic wave characteristic parameter of the reflected wave signal and a second lithologic seismic wave characteristic parameter of a known typical stratum; matching the first lithologic characteristic wave characteristic parameter with the second lithologic seismic wave characteristic parameter, and determining the formation lithology and the geological structure of the formation to be detected; outputting the stratum information of the to-be-measured stratum including the distance data, the stratum lithology and the geological structure; the seismic waves are not affected by various complex geological environments, the stratum information of the stratum to be measured can be accurately obtained, the drilling risk is reduced, and the drilling efficiency and safety are improved.

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 relates to the technical field of seismic exploration, in particular to a two-way wave depth migration method for a VTI medium. Respectively forming a detector wave field and a seismic source wave field; respectively reading seismic data and a seismic source wave field of a single shot, and obtaining anisotropic parameters; fourier transform is carried out on the seismic source wave field data and the detector wave field data to obtain frequency-space domain wave field data; calculating parameters required by offset; calculating an anisotropic vertical wave number; solving a wave field of a second depth grid; according to the double-boundary condition, wave field propagation operators are solved layer by layer; eliminating evanescent waves and pseudo S waves at each depth position; migration imaging is carried out; continuation calculation is repeated until the maximum depth is calculated, and an offset result is output; by popularizing the two-way wave migration from an isotropic medium to an anisotropic medium, the application range of the two-way wave depth migration is expanded, and an underground structure can be better imaged.

The invention provides a hard roof area fracturing multi-source monitoring method and device, and relates to the technical field of geological prospecting, and the method comprises the steps: determining the position of a seismic source according to a micro-seismic waveform record collected by a ground three-component detector; carrying out two-dimensional positioning on a microseismic event waveform acquired by the distributed optical fiber in a seismic source direction to obtain a seismic plane distance and depth; jointly determining the three-dimensional space position of the seismic source according to the three parameters of the seismic source orientation, the seismic plane distance and the depth; and analyzing the diffusion range of the fracturing fluid according to the three-dimensional space position through an electromagnetic method to obtain the diffusion range of the fracturing fluid. And finally, accurate monitoring and evaluation of the diffusion and transformation range of the fracturing fluid during the hydraulic fracturing operation of the hard roof are realized through microseism, distributed optical fiber sensing and electromagnetic method multi-source monitoring.

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 provides a while-drilling seismic acquisition method and device, and the method comprises the steps: 1, carrying out the while-drilling seismic excitation of a drill bit at a target interval, and obtaining an excited seismic source signal; 2, seismic signals generated after excitation are received through a node detector, and direct waves and reflected waves from an underground target interval are obtained; and step 3, intercepting the seismic signal while drilling, and combining and superposing the preprocessing to obtain an acquisition signal with a relatively high signal-to-noise ratio. According to the while-drilling earthquake acquisition method and device, while-drilling earthquake acquisition efficiency and data quality can be improved, and reliable original information is provided for further performing pre-drilling pressure prediction and stratum prediction by using the while-drilling earthquake.

The invention discloses a ground and cross-hole earthquake combined tomography method for improving karst detection precision. The method comprises the following steps: arranging a seismic source and a detector on the ground surface to realize ground exploration, respectively arranging a seismic source and a detector in different holes to realize cross-hole exploration, and combining seismic data acquired by the two exploration modes; picking up first-motion wave travel time in each seismic record to prepare for inversion calculation; and establishing an initial velocity model and carrying out inversion iteration, and explaining an inversion result in combination with karst features and geological backgrounds. According to the method, karst distribution under complex geological conditions can be accurately positioned and recognized, and the problems that inversion imaging is uncomfortable and prominent in nature and geological interpretation multiplicity is high due to the fact that cross-hole tomography used in traditional karst detection is uneven in seismic ray distribution, insufficient in cross degree and the like are solved; the method has remarkable advantages in fine exploration of karst in a complex geological environment, and has wide practical value.

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 low signal-to-noise ratio seismic detection model based on a deep residual shrinkage network, which introduces an attention mechanism on the basis of designing a soft threshold function according to different noises in seismic records collected by different stations or detectors, and constructs the deep residual shrinkage network. The method is used for detecting seismic events in low-signal-to-noise-ratio seismic records. In the designed network, a soft threshold function is inserted into a deep network structure as a nonlinear transformation layer so as to effectively filter the influence of noise-related features. Meanwhile, an attention mechanism is introduced into the network, a self-adaptive slope module is added, the optimal threshold value of seismic signal denoising is automatically obtained, and optimal processing of different signals and different degrees of noise is achieved. Through training, the deep residual shrinkage network can adaptively determine the de-noising threshold, so that each seismic signal has its own threshold set, the purpose of accurately detecting seismic events under strong background noise is achieved, and the accuracy of seismic event detection is improved.

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 relates to a method for calculating a purified micro-motion H / V curve and a change rate. The calculation method comprises the following steps: step 1, collecting surface micro-vibration signals of a two-dimensional array; 2, respectively calculating a micro-motion H / V curve and a change rate of data acquired by each three-component detector for Rayleigh surface wave purification based on the random decrement technology; 3, drawing a two-dimensional H / V curve and change rate curve contour map or a three-dimensional slice map for the H / V curve and the change rate curve of each measuring point by using an MATLAB program; and 4, according to the abnormal characteristics of the contour map of the two-dimensional H / V curve and the change rate curve or the three-dimensional slice map, deducing and explaining an abnormal target body. The method is applied to the fields of urban geological survey, engineering investigation, underground space development and the like, and a rapid, accurate and environment-friendly solution is provided. The method has the advantages of convenient field acquisition, high detection precision, strong resolution capability, shortened exploration period, reduced engineering cost, reduced exploration risk and the like.

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.