174 results about "Wave speed" patented technology

The invention relates to the technical field of earthquake monitoring, and discloses a comprehensive earthquake prediction method, which comprises the following steps of: acquiring a continuous micro-motion data sequence to reconstruct an empirical green function sequence, and dividing the empirical green function sequence into a compression phase subset and a stretching phase subset by utilizing a synchronously acquired theoretical earth tide stress phase; respectively extracting a causal branch waveform corresponding to the positive time axis and a non-causal branch waveform corresponding to the negative time axis, and determining a weight index for inhibiting the non-structural interference by calculating a reciprocity residual error between a causal wave velocity offset and a non-causal wave velocity offset; correcting a wave velocity offset mean value by using the weight index to obtain a stress sensitivity coefficient reflecting the stress state of the earth crust medium; according to the method, a physical criterion is established by using an elastic wave propagation reciprocity principle, decoupling of medium attribute change and noise source spatial drift is realized, and visual wave velocity offset induced by environmental interference is eliminated.

The invention relates to the technical field of wireless communication, and discloses an information source number detection method and system based on a non-circular signal. The method comprises the following steps: calculating a compensation sample covariance matrix of a received signal, and obtaining a sample canonical correlation coefficient through Takagi decomposition of the compensation sample covariance matrix; constructing a marginal likelihood function of the maternal typical correlation coefficient; taking a sample canonical correlation coefficient as an estimated value of a corresponding matrix, and establishing an estimated statistic by applying a minimum description length criterion; and obtaining the number of the parent typical correlation coefficients when the estimation statistic is minimized, and taking the number as an estimation value of the actual number of the non-circular signals. According to the method, the characteristic that the non-circular signal compensation covariance is not zero is fully utilized, the marginal likelihood function with the minimum redundancy parameters is adopted to construct the statistics, high-precision estimation of the number of the non-circular signals can be achieved, and necessary guarantee is provided for practical application scenes such as direction of arrival estimation and wave velocity formation.

The invention provides a Prony algorithm-based cable segment wave velocity acquisition method, device and system, and a medium, and the method comprises the steps: testing a to-be-tested cable, and obtaining a cable signal transfer function; on the basis of the cable signal transfer function, in combination with cable joint distribution, constructing a cable signal approximation function based on a Prony method; constructing a linear prediction model of the cable signal based on the cable signal approximation function; performing denoising processing on the linear prediction model based on a singular value decomposition method to obtain a denoised linear prediction model; solving the denoised linear prediction model to obtain an attenuation coefficient; and calculating the segmented wave velocity of the cable based on the attenuation coefficient. According to the method, the Prony estimation method is combined with the singular value decomposition noise reduction algorithm, high-precision extraction of attenuation constants and segmented wave velocity decoupling are achieved, and then the electrical distance positioning precision is improved.

The invention discloses an inertial navigation underwater path tracking method and system for a complex marine environment, and relates to the technical field of inertial navigation. The method comprises the following steps of AUV navigation monitoring, underwater tracking position correction, underwater path tracking stability analysis and underwater path tracking stability change analysis. According to the method, the IMU acceleration change condition and the DVL wave velocity quality fluctuation condition in the INS are monitored, IMU acceleration change analysis and DVL wave velocity quality fluctuation analysis are carried out respectively, then an underwater tracking position correction scheme is decided based on the two analysis results, and underwater path position credibility analysis is carried out at the same time. And whether path stability correction measures are taken or not is judged according to the stability condition of underwater path position tracking of the AUV, and then whether path correction adjustment is executed or not is determined, so that the precision of the underwater path tracking position is improved, and the problem that the accuracy of the underwater path tracking position is reduced in the prior art is solved.

The invention discloses a ring main unit cable line fault positioning system and method based on traveling wave intelligent sensing, and relates to the technical field of ring main unit cable line fault positioning, and the method comprises the following steps: arranging a traveling wave sensor at a position corresponding to a cable connecting plug or a solid-sealed polar pole in a ring main unit; an initial correction stage is carried out, a known electrical event is triggered on a cable in actual operation, the propagation time of a traveling wave signal between the two ends is measured, and the wave velocity of the traveling wave is actually measured on site and dynamically updated in combination with the known cable length; the method comprises the following steps: executing initial correction under different operation conditions, collecting corresponding data of working conditions and wave velocities, constructing a self-adaptive model of the wave velocities and working condition parameters, and when a fault occurs, dynamically predicting the wave velocities based on the constructed model according to current working condition parameters monitored in real time; and on the basis of the identified wave head timestamp, constructing an overdetermined equation set and solving an optimal fault position, so that the cable line fault positioning of the ring main unit is realized.

The invention discloses an acoustic black hole structure and a vibration damping device.The acoustic black hole structure comprises an acoustic black hole body and a damping layer, the acoustic black hole body is provided with a uniform thickness area and an acoustic black hole area, the acoustic black hole area is provided with a plurality of grooves, the grooves are distributed from the first end to the second end of the acoustic black hole area, and the damping layer is arranged between the first end and the second end of the acoustic black hole area. The depths of the grooves are gradually increased in the direction from the first end to the second end, and the damping layer is arranged in the acoustic black hole area. By machining the groove in the acoustic black hole area, the local bending rigidity of the acoustic black hole body is changed, the bending wave speed of the acoustic black hole body is reduced, the acoustic black hole effect is achieved, due to the arrangement of the groove, the local resonance effect can be utilized, and then structural vibration suppression in the low-frequency range is achieved; the problem that a traditional acoustic black hole structure is poor in low-frequency-band vibration reduction effect is solved, in addition, thickness cutting of an acoustic black hole area of an original structure is avoided, and the manufacturing difficulty and the requirement for the precision of machining equipment are lowered.

The invention discloses a real-time rendering method and system for physical simulation water surface waves, and the method comprises the following steps: constructing a generative adversarial network, obtaining a wave vector and an environment parameter variable of the waves, inputting the environment parameter variable into the pre-constructed generative adversarial network, and calculating the height of the waves through a Tessendorf method; calculating wave displacement through Fourier transform and inverse transform in a frequency domain based on the wave vector; calculating the velocity complex amplitude of the corresponding wave based on the wave vector, introducing a micro-scale vortex velocity field based on a particle system, and calculating the wave velocity based on the velocity complex amplitude and the micro-scale vortex field; and based on the wave height, the wave displacement and the wave speed, performing water surface wave rendering by adopting multi-cascade dynamic. According to the method, the physical rationality and visual authenticity of water surface wave simulation are improved, and water body physical simulation is promoted to develop from visual driving to the fusion direction of physical driving and data driving.

A method, apparatus, and non-transitory, computer readable medium are disclosed herein for optimizing a pressure pulse signal during ramp down operations for a hydraulic fracturing process in a wellbore. In one embodiment, a method comprises: obtaining pressure pulse data from a wellbore; calculating wave speed for the wellbore; and determining a rate change schedule for use during a ramp down procedure based on the wave speed.

The invention relates to the technical field of electronics, and discloses a reservoir area wading dangerous rock mass monitoring and early warning system, method, device and equipment and a medium, and the system comprises a rock mass soft zone positioning module, a rock mass damage sensing module and a monitoring and early warning module; the rock mass damage sensing module comprises a plurality of wave velocity monitoring sensors, the plurality of wave velocity monitoring sensors are arranged in a soft zone area of a target rock mass according to a preset requirement, each wave velocity monitoring sensor is used for collecting wave velocity data of a target position, and the soft zone area is determined by using the rock mass soft zone positioning module; the monitoring and early warning module is connected with the rock mass damage sensing module and used for determining rock mass damage information of target positions where the corresponding wave speed monitoring sensors are located based on the wave speed data collected by the wave speed monitoring sensors and determining early warning information of target rock mass based on the rock mass damage information of the target positions. The scientificity and effectiveness of monitoring and early warning of the wading dangerous rock mass in the reservoir area are effectively improved.

The invention provides a method and a device for determining detonation wave characteristics in a detonation tube, electronic equipment and a medium, and relates to the field of detonation wave characteristic research, and core flow field characteristics can be completely captured by accurately acquiring a detonation tube space propagation area and multi-layer real grid data and combining with a flow field control equation solution under an inertial reference system. The initial speed of the reference system is dynamically updated based on the wave speed of the detonation wave, it is ensured that the key area of the detonation wave is always located in the computational domain, and data distortion caused by core flow field deviation is avoided. Multiple times of iteration solving are carried out to obtain multiple detonation wave velocities, so that single calculation errors and wave surface fluctuation interference are effectively reduced, and the data reliability is improved. The propagation stability, the development stage and the energy characteristics can be comprehensively analyzed based on multiple groups of detonation wave velocities, the limitation of single data is broken through, accurate data support is provided for detonation wave mechanism research and structure optimization, and the scientificity of characteristic analysis is enhanced.

The invention discloses a fault point positioning method, device and equipment based on traveling wave signal wave velocity correction. Relates to the technical field of fault detection, and the method comprises the steps: employing a predetermined traveling wave distance measurement device to collect the propagation speed of a fault traveling wave in a target transmission line when an external line has a fault, and the target transmission line is an overhead line or a cable line; correcting the propagation velocity based on a pre-constructed wave velocity-frequency relation curve corresponding to the target transmission line to obtain a corrected wave velocity; performing calculation processing based on the correction wave velocity and the predetermined length of each segmented interval to obtain a target fault interval; and adopting a preset fault section endpoint positioning mode to carry out fault positioning on the target fault section to obtain a target fault point position. According to the method, the accuracy of fault point positioning can be improved.

The invention provides a filling pipeline leakage monitoring and positioning method, device and equipment and a storage medium, and relates to the technical field of pipeline monitoring. The method comprises the following steps: acquiring time-varying data of pressure in a pipeline through a pressure sensing unit, and identifying leakage triggering characteristics; transmitting a pressure pulse wave at the starting end of the pipeline and receiving an echo signal, and calculating a pressure wave propagation speed under the current working condition according to the echo signal; and the arrival time of the pressure waves arriving at the sensors is extracted, and based on the pressure wave propagation speed and the pressure wave arrival time difference, leakage point coordinates are obtained through calculation. According to the method, the leakage characteristics are rapidly identified through real-time pressure collection, the real-time wave velocity under the current working condition is obtained through the active pulse echo technology, and the wave velocity calculation deviation caused by medium characteristic changes is effectively eliminated; and the actually measured wave velocity and the time difference of arrival are combined for calculation, so that error accumulation in long-distance transportation is overcome, and the precision and reliability of pipeline leakage positioning are remarkably improved.

The invention relates to the technical field of roadbed detection, and discloses a roadbed compaction quality detection method based on ultrasonic wave collaboration, and the roadbed compaction quality detection method comprises the following steps: collecting full-wave band ultrasonic echo signals, and obtaining current environment data; calculating a longitudinal wave speed, a transverse wave speed and a wave speed ratio, and extracting an attenuation coefficient and a frequency dispersion characteristic of the ultrasonic echo signal to obtain an acoustic characteristic set; inputting the acoustic feature set and the environmental data into an environmental compensation model, outputting a standard acoustic parameter set subjected to temperature, humidity and water content correction, analyzing the standard acoustic parameter set through a soil texture classification algorithm, and judging the current soil texture type; and combining the standard acoustic parameter set and the current soil texture type into a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a compactness calculation model, and calculating to obtain a roadbed compactness value of the current measuring point. According to the method, high-precision compaction degree numerical calculation is realized, and intelligent and visual whole-process support is provided for roadbed construction quality.

The invention relates to the technical field of underground detection, and discloses a low-frequency electromagnetic field detection positioning method for an underground metal target. According to the invention, a five-frequency-band time division multiplexing detection system is adopted in the frequency band of 1-100 kHz, and a special antenna is matched, so that deep target coverage within 40 meters can be realized, and shallow accurate measurement requirements can be ensured; meanwhile, distributed reference beacon nodes are deployed, parameters such as medium conductivity, dielectric constant and humidity are collected in real time, a wave velocity prediction model is constructed based on support vector regression to dynamically correct the electromagnetic wave propagation velocity, and correction errors are controlled; a time-frequency domain joint sparse reconstruction algorithm is used for separating a close-range target aliasing signal, so that an adjacent metal target can be effectively identified; finally, multi-band emission, signal receiving, medium sensing and a central processing unit are integrated to form a closed-loop cooperative system, an underground target three-dimensional model is generated, position coordinates and size and metal type attribute information are output, the system is suitable for complex scenes such as high-humidity soil and gravel layers, and the comprehensive detection performance is remarkably improved.

The application relates to the field of gas pressure safety monitoring, and discloses a multi-scene gas pressure safety guarantee and remote monitoring system. The system comprises a dual-mode sensing module, a topology mapping module, a wave speed cooperation module, a fluid routing module, a routing locking module and a remote monitoring module. The wave speed cooperation module utilizes the difference between the propagation speeds of radio waves and pressure waves to send a preemptive wake-up frame, drives a downstream node to start sampling and backtrack to read a hardware cache before a pressure wave arrives, and realizes complete capture of a transient waveform. The fluid routing module constructs a high-reliability control slice containing only physically connected links and a full-through monitoring slice based on radio frequency based on fluid connectivity parameters. The routing locking module generates cascaded locking instructions bound to the control slice, prevents mis-transmission of the instructions beyond a physical breakpoint by using a routing overhead mechanism, and reports a state after a circuit is opened by the monitoring slice. The application effectively solves the problems of transient leakage of low-power devices and mismatch between wireless control logic and physical topology.

The invention discloses a long-distance and short-distance combined advanced geological forecasting method and system and storage equipment, belongs to the technical field of geological forecasting, and can solve the problem that long-distance accurate forecasting is difficult in the prior art. The method comprises the following steps: S1, constructing a three-dimensional geological model within a first length range from a tunnel face in a to-be-constructed area according to exposed geological information of a constructed area, and predicting a first heteroplasmon within the first length range based on the three-dimensional geological model; s2, predicting a second heteroplasmon within a first length range by using an electromagnetic prospecting method, and correcting the three-dimensional geologic model by using the second heteroplasmon; s3, determining a wave velocity parameter within a second length range from the tunnel face by using a seismic exploration method, and predicting a third heteroplasmon within the second length range based on the wave velocity parameter; and S4, correcting wave velocity parameters according to the first heteroplasmon, the second heteroplasmon and the third heteroplasmon, and carrying out geological forecast according to the corrected wave velocity parameters and the corrected three-dimensional geological model. The method is used for geological forecast.

1. Name of the designed product: wave speed ball (Chengguang). 2. Use of the designed product: wave speed ball for sports fitness. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo that best shows the design points: perspective view.

A high-iron karst geological section comprehensive parameter fine automatic exploration system, including walking wheels, drill bit electrodes, drill bit detectors, drill bit magnetic excitation systems, electrode rotation systems, detector rotation systems, magnetic excitation rotation systems, liquid injection systems, control systems, multi-parameter interpretation systems, power systems, and wireless communication systems; the present application is based on the resistivity method and the wave velocity method, and can be used to explore any depth stratum that can be reached, independent of each other and mutually corroborating to reduce the karst geological multiple solutions, Rayleigh waves and electrical signals can transmit the most suitable signal type and strength according to the geological conditions at the set depth, which can realize the fine and automatic exploration of karst geology and improve the exploration efficiency. The present application also corrects the geological classification method in karst areas, and the corrected method can fully consider the development and particularity of karst, providing a method for the automation of high-iron geological exploration in karst areas and avoiding human errors.

This invention belongs to the fields of rock mechanics, geological engineering, and geophysical exploration technology. Specifically, it discloses a method and system for constructing a mapping relationship between acoustic wave velocity and surrounding rock stress. The method includes: performing uniaxial graded loading on a standard sandstone sample and simultaneously measuring the P-wave velocity and S-wave velocity under each stress level; then fitting a linear mapping relationship between the P-wave / S-wave velocity ratio and the axial stress of the surrounding rock; introducing joint correction coefficients and water content correction coefficients to optimize the linear mapping relationship and constructing an acoustoelastic model; and using the acoustoelastic model and field-measured wave velocity data to invert the stress state of the actual surrounding rock, thus completing the construction of the acoustic wave velocity-surround rock stress mapping relationship. This invention solves the problems of traditional wave velocity-stress relationships, which, when describing the nonlinear response of rocks at different stress stages, are not sensitive enough to subtle stress changes and lack a complete, high-precision, and interference-resistant stress inversion calculation method, making them difficult to directly apply to complex actual engineering environments.

The invention provides an elastic wave CT (Computed Tomography) signal denoising method for improving the inversion precision of karst cave exploration, which belongs to the technical field of engineering exploration and comprises the following steps of: performing normalization preprocessing on a received signal, suppressing random noise by adaptive filtering, converting a time domain signal into an F-K domain and identifying a surface wave, filtering a surface wave signal by a Gaussian band elimination filter, and converting the F-K domain signal back to the time domain. The method comprises the following steps of: highlighting a take-off characteristic of a weak P wave covered by a strong surface wave through normalization; using a minimum mean square error adaptive filter to accurately filter random noise; subsequently converting to an F-K domain, and smoothly attenuating the surface wave through a Gaussian band elimination filter by utilizing the frequency wave number distribution difference of the surface wave and the P wave; the method realizes layered removal of random noise and surface waves, finally outputs high-purity direct P-wave signals, greatly improves P-wave travel time pickup and wave velocity calculation precision, and remarkably improves inversion precision of an elastic wave CT exploration method in detection of geologic bodies such as karst caves and fracture zones.

The invention discloses a railway vehicle impact positioning method, device and equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: obtaining a guided wave signal outputted by each piezoelectric sensor when a to-be-detected composite material of a railway vehicle is impacted; the piezoelectric sensor is arranged on the surface of the composite material to be detected; constructing a positioning model based on the installation position of each piezoelectric sensor and the flight time of the guided wave signal, and determining an error function of the positioning model; the function is used for quantifying the deviation between the theoretical distance and the actual distance; the theoretical distance is obtained based on the assumed coordinate of the potential impact point and the mounting position of the piezoelectric sensor, and the actual distance is obtained based on the flight time and the propagation speed of the guided wave signal; and outputting the optimal coordinate estimation of the potential impact point and the optimal propagation speed estimation of the guided wave signal by minimizing the error function. According to the invention, the inherent error caused by the constant wave velocity is avoided; the engineering implementation cost is reduced; the positioning precision is obviously improved; and the real-time performance of impact positioning is ensured.

1. Name of the designed product: wave speed ball. 2. Use of the designed product: for fitness equipment. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

A tiny damage detection method based on ultrasonic phased array tail wave interference comprises the steps that A, an ultrasonic phased array probe or a set of piezoelectric wafers are adopted to form phase control emission, and a phase control ultrasonic field is formed in a detected area under the excitation delay rule; step B, acquiring an ultrasonic signal from an ultrasonic phased array probe or a piezoelectric wafer through an ultrasonic field, and determining and extracting a tail wave signal; c, measuring the phase difference change of the tail wave by adopting a stretching method, analyzing the tail wave signal, and calculating the numerical value of the waveform expansion coefficient of the relative wave velocity variation; step D, by collecting tail wave signals of small damages with different sizes, continuously repeating calculation in the step B and the step C to obtain multiple groups of relative wave velocity variation values, and performing value fitting on the relative wave velocity variation; e, repeating the measurement and calculation of the step B and the step C for the objects with the same material and the same structure, and combining the step D to obtain the size of the micro damage; and early-stage accurate identification of tiny damage is realized.

The invention relates to the technical field of soil monitoring and analysis, in particular to an underground frozen soil ice layer monitoring system and device based on multi-sensor fusion. Ultrasonic signals are sent and received through a sound wave monitoring unit, the surface temperature value of a probe is obtained through a temperature measuring unit, and the probe is heated through a temperature control module; constructing a wave velocity change curve through a feature extraction module and dividing the wave velocity change curve into a plurality of sub-curve segments; the surface state trend of the probe is judged according to the first analysis result of the surface state characterization quantity of the probe through the feature joint judgment module, the continuous output power determination mode of the temperature control module is selected according to the surface state trend through the power screening unit, and the ultrasonic signals collected under the continuous output power are recorded through the monitoring recording unit. The heating power is dynamically adapted according to the deicing effect of the probe and the influence phenomenon of heating on the environment, and the data acquisition accuracy of underground frozen soil ice layer monitoring is improved.

The application discloses an overhead line insulation defect positioning method and system, and relates to the technical field of line detection.The method comprises the following steps: setting monitoring points for receiving discharge traveling wave current signals generated by insulation defect discharge; determining the distance from the insulation defect discharge point to the monitoring points according to the time difference of arrival measured by the two monitoring points when the discharge traveling wave current signals are generated in the line, and combining the propagation speed of the discharge traveling wave current signals; and obtaining the time of the monitoring points by a GPS clock synchronization module, and calculating the position of the insulation defect.The application adopts the layout of monitoring points in the line instead of the transformer substations at both ends, reduces the influence of waveform attenuation distortion on positioning accuracy, and has little influence on the attenuation of the waveform, which can be ignored almost, according to the actually monitored waveform display.Meanwhile, the influence of sag and the uncertainty of wave speed is converted into the wave speed measured on line, so that the positioning accuracy is further improved.

The application provides a microseismic monitoring system sensor network optimization method under a known wave velocity system, first, a control equation between a sensor and a microseismic / acoustic emission source is derived by utilizing a proportional relationship between a propagation distance and time, and a distance difference equation of the microseismic / acoustic emission source is established; second, an optimization function of a single source sensor network layout is constructed according to the distance difference equation and by utilizing fisher information and probability integration of the microseismic / acoustic emission source; then, a sensor network optimization function is constructed under the condition that the entire monitoring area and the probability of the occurrence of the source at different positions are considered; finally, the constructed sensor network optimization function is solved by using an improved coding framework. The method can eliminate the influence of the sensor network on the positioning accuracy and effectively identify the optimal sensor network layout.

The invention relates to the technical field of hydraulic fracturing, in particular to a method for determining the crack initiation position of a hydraulic fracturing crack by using continuous stress waves, which comprises the following steps of: identifying a water hammer wave and two adjacent shock waves continuously appearing subsequently in stress wave data of a descending section in a pump stop pressure drop process, distinguishing the characteristics of the water hammer wave and the shock waves, and determining the crack initiation position of the hydraulic fracturing crack. And the shock wave propagation distance is calculated according to the wave velocity and the interval time of two adjacent shock wave data, and then the perforation cluster crack initiation position can be determined. The method is suitable for all hydraulic fracturing construction operations, and can realize identification of the crack initiation position with the precision at the m level. The method is different from inversion identification of the crack initiation position by using test data to perform test data signal processing, belongs to a direct measurement method, has higher precision and resolution, and can realize accurate identification of the crack initiation position.

The invention belongs to the technical field of power transmission line fault detection, and discloses a power transmission line fault traveling wave monitoring and distance measuring method, which comprises the following steps: S1, traveling wave signal acquisition, S2, traveling wave signal processing, S3, traveling wave velocity approval and selection, determining the traveling wave velocity through calculation and comparison of multiple groups of data, S4, calculating the position of a fault point, and S5, determining the position of the fault point. According to the technical scheme, multiple operations are carried out through collection of multiple sets of signals, the calculation results of the multiple sets of signals are matched with the theoretical calculation result to carry out comparative analysis to determine the calculation error, then the calculation error of the fault point is reduced, and the calculation accuracy of the fault point is improved. The position of a fault point can be determined more accurately, and the overhaul and maintenance efficiency is improved; instrument faults can be judged according to the comparison effect, fault point position calculation is conducted through a limited calculation formula, influences of other parameters are avoided, and the calculation precision is further improved.

The invention provides an efficient cooperative construction method, device and equipment for simultaneous operation of multiple geophysical prospecting teams, relates to the technical field of seismic prospecting, and aims to solve the problem that the construction efficiency is low under the condition that the distance between shot points constructed by the multiple geophysical prospecting teams in the same time window in adjacent work areas is smaller than the minimum distance of synchronous excitation in the prior art. The method comprises the following steps: integrating adjacent work areas for analysis, calculating the lower limit value of the root-mean-square energy of the upper cannon interference of a conventional production cannon, and drawing a first time distance curve meeting the condition that the upper cannon interference is not greater than that of the production cannon by utilizing a single-cannon data single-cannon energy attenuation time-space domain distribution plane graph of a long-record long-arrangement-point test; according to the seismic data of the work area, obtaining the lowest refracted wave speed, and calculating a second time distance relation curve when the last shot refracted wave does not enter the single shot data; and an area clamped by the first gun loading interference time distance curve and the second gun loading interference time distance curve is used as a distance range of staggered excitation of two guns in adjacent work areas, a blasting time interval is dynamically calculated, and staggered excitation is carried out.

The invention discloses a mine downward drift filling stope in-situ comprehensive monitoring system and a use method. The system is composed of a filling body stress monitoring system, a filling body strength monitoring system, a filling body displacement monitoring system and a multi-channel data acquisition module. The stress conditions of a filling body in all directions are monitored through a vibrating wire type soil pressure box and a steel bar meter in the filling body stress monitoring system, and the strength of the filling body is monitored through a wave velocity sensor and a hydraulic oil cylinder in the filling body strength monitoring system. A single-point settlement meter and a transverse displacement meter in the filling body displacement monitoring system are used for monitoring the displacement deformation conditions of the filling body in the vertical direction and the transverse direction respectively. The method has the advantages of comprehensive monitoring indexes, high monitoring precision, sustainable and continuous monitoring and the like.