268 results about "Blasting vibration" patented technology

The invention relates to the technical field of tunnel construction, in particular to a tunnel blasting quality evaluation method based on multi-source data fusion, which comprises the following steps: synchronously acquiring multi-source data such as blasting vibration waveform, shock wave overpressure, dust concentration time sequence and excavation face image through a sensor network and image acquisition equipment arranged in a tunnel; performing preprocessing and time sequence alignment on the data to form a standardized data sample set; multi-dimensional feature vectors representing the blasting effect are extracted from the multi-dimensional feature vectors respectively; fusing various features into a high-dimensional feature vector, training a machine learning model by using historical data and quality grade labels evaluated by experts to establish a mapping relationship between the features and quality grades, and constructing an intelligent evaluation model; and online automatic evaluation and visual result output of the new blasting event are realized. According to the invention, automation, objectization and systematization of blasting quality evaluation are realized, and an efficient and reliable data-driven solution is provided for tunnel construction quality control.

The invention provides a shallow-buried tunnel blasting surface vibration waveform prediction method and system, and relates to the technical field of surface vibration waveform prediction, and the method comprises the steps: collecting geological, blasting and environmental parameters of historical and current blasting, and forming a standardized parameter set through three-stage index storage, abnormal value screening and standardization processing; establishing a mapping relation between blasting parameters and a vibration waveform time domain sequence based on an LSTM neural network, and predicting a current blasting vibration waveform; fusing the geological condition influence factors, the environmental sensitivity influence factors and the predicted waveform features to generate a comprehensive safety assessment index; and according to a matching result of the index and a multi-level safety threshold value, the risk is divided into four levels of safety, low risk, medium risk and high risk, and differential management and control are executed, so that accurate prediction and dynamic regulation and control of the blasting vibration risk are realized. According to the invention, the vibration wave propagation process in the shallow tunnel blasting construction can be accurately simulated, so that the influence of blasting can be better evaluated.

The invention relates to the technical field of monitoring and intelligent decision analysis, and discloses a monitoring and intelligent decision system for the influence of holographic blasting vibration on slope stability, and the system comprises a data collection module, a data processing module, an intelligent decision module, and a feedback control module. The method comprises the following steps: dynamically deploying a three-dimensional vibration sensor array based on topographic features; collecting and preprocessing blasting vibration signals and geological data; fusing the physical model and the data driving model to predict vibration propagation; calculating a dynamic safety coefficient and generating a multi-objective optimization scheme; and outputting an early warning instruction and feeding back and adjusting the sensor network configuration. Through a three-dimensional dynamic monitoring network, real-time data processing, a hybrid drive prediction model, multi-target quantitative evaluation and hierarchical early warning regulation and control, the problems of incomplete sensor coverage, early warning delay, prediction deviation, evaluation deficiency and poor scene adaptability are solved, and accurate monitoring and intelligent decision making of blasting vibration influence are realized.

The invention discloses a double-row medium-length hole blasting method for a filling stope. According to the method, a theoretical value range of each blasting parameter is deduced according to field engineering practice, an ore rock blasting crushing mechanism and a blasting parameter theoretical formula. The method comprises the following steps of: constructing a stope blasting model with different hole bottom distances, explosive unit consumption and resistance line combinations by using ANSYS numerical simulation software in combination with physical and mechanical properties of ore rocks and field explosive performance parameters, and preferably selecting double-row medium-length hole blasting parameters according to a chamber effective stress distribution rule and a roof area vibration velocity peak value of the ANSYS blasting model. According to the method, by selecting the double-row optimal medium-length hole blasting parameters, it is guaranteed that ore rocks in the chamber are fully crushed, the effective stress invading the roof and the blasting vibration velocity peak value are reduced, and the roof is prevented from being damaged. And meanwhile, the explosive loading amount is reduced, the economic cost is reduced, and the production efficiency of a mine is improved.

The invention provides a mine slope risk assessment method and system based on multi-source data space-time fusion, and relates to the technical field of mine monitoring, and the method comprises the steps: obtaining geological and engineering data, and constructing a basic model representing a slope three-dimensional space structure; collecting multi-source heterogeneous monitoring data on a mine slope field, and aligning and fusing the multi-source heterogeneous monitoring data with the basic model in a space-time dimension to generate a continuous dynamic parameter field; and setting a data fusion model, and taking the basic model and the dynamic parameter field as input to obtain a four-dimensional space-time fusion risk field. According to the method, the basic model representing the three-dimensional space structure of the slope is constructed, and a unified space-time bearing base is provided for all heterogeneous monitoring data, so that originally isolated data such as GNSS displacement, deep displacement, blasting vibration and underground water level can be fused in a unified coordinate system; the problem of data splitting in the prior art is fundamentally solved, and integral and integrated expression of slope engineering and geological conditions is formed.

The invention provides a method for analyzing the dynamic stability of a slope containing a mining cavern group under the action of dynamic and static loads, and belongs to the technical field of analysis of the dynamic stability of the slope containing the mining cavern group. In order to solve the technical problem that complex mechanical behaviors of a slope containing a mining cave group under the dynamic and static load coupling effect are difficult to accurately consider because most of existing slope stability analysis aims at single static load or dynamic load working conditions, the technical scheme adopted by the invention comprises the following steps: collecting end slope mining coal pillars and rock samples of rock stratums overlying the end slope mining coal pillars, and testing physical and mechanical parameters of the rock samples; the physical and mechanical parameters of all the rock stratums are finally selected in combination with related production materials of the mining area; calculating a shear strength parameter of the rock mass after the rock is damaged under the action of cyclic blasting vibration; calculating shear strength parameters of the end slope mining area-evolved weak layer under the action of blasting vibration; the stability of the slope containing the mining cavern group under the blasting vibration effect is calculated; the method is applied to the stability analysis of the power of the slope containing the mining cavern group.

The invention belongs to the technical field of blasting vibration prediction, and particularly discloses a blasting vibration speed attenuation law prediction method based on regression analysis, and the method comprises the steps: laying monitoring points in multiple directions around a blasting source, synchronously collecting the geological parameters and mass point peak vibration speed of each point, and constructing a segmented propagation path; a single dominant propagation section is identified based on adjacent monitoring point data, independent influence of specific geological conditions on vibration attenuation is quantified by combining single-factor control regression analysis, decoupling modeling of geological factors and attenuation behaviors is realized, and meanwhile, a double-factor dominant propagation section is identified on the basis of quantizing the independent influence of the single geological conditions. And deducting a known effect through residual analysis to separate out an independent contribution of another geological parameter, and finally integrating a multi-factor influence function to construct a comprehensive attenuation model. Progressive modeling from single-factor decoupling to multi-factor collaboration is achieved, and the precision and physical interpretability of blasting vibration prediction in a complex heterogeneous stratum are remarkably improved.

The invention discloses a mine blasting safety monitoring and early warning system, which comprises a multi-source sensing module, an edge computing node, a dynamic risk assessment module, an intelligent early warning decision module and an emergency linkage execution module, and is characterized in that the multi-source sensing module acquires multi-dimensional data such as blasting vibration, shock waves and toxic gas through various sensors; edge computing nodes filter noise and extract time-frequency features; the dynamic risk assessment module inverts blasting energy based on vibration and shock wave data, and predicts secondary disasters in combination with a geological model and gas concentration; the intelligent early warning decision module dynamically adjusts an early warning threshold by using a deep learning model and fusing multi-modal data; the emergency linkage execution module executes instructions such as power failure and evacuation according to devices such as early warning level, linkage ventilation and personnel positioning, overcomes the defects of traditional single monitoring and lack of correlation models, realizes full-process and all-directional monitoring of blasting operation, and effectively improves the safety of mine blasting operation and the efficiency of emergency management.

The invention discloses a filling mining method based on stage reverse medium-length hole groove broaching, which relates to the technical field of mining, and comprises the following steps: stope structure parameter design, mining preparation engineering construction, cutting engineering, stoping process and filling process are carried out in sequence, the cutting project comprises the steps of cutting courtyard rapid forming, cutting groove broaching and cutting groove rapid penetrating; and the cutting courtyard is rapidly formed by adopting a laser pre-splitting auxiliary blasting process. According to the method, the cutting and groove broaching processes are deeply optimized, so that the overall efficiency of underground mining is remarkably improved. In the cutting courtyard forming stage, the laser presplitting auxiliary blasting technology is introduced, so that the rock integrity is reduced, the blasting energy is more concentrated, the effect is more accurate, the problems of perforation, rock slag squeezing and the like in the traditional process are effectively avoided, the explosive loading amount can be reduced, disturbance of blasting vibration to surrounding rock is reduced, and the blasting quality is improved. And a safer technical support is provided for high-stress ore body mining.

The invention provides a tunnel blasting vibration reduction method and system based on asymmetric slotting, relates to the technical field of geotechnical engineering numerical simulation, and provides an integrated intelligent blasting vibration reduction system of asymmetric slotting structure optimization-quantum genetic algorithm collaborative optimization-model dynamic regulation. Triple fusion of a physical mechanism, a mathematical algorithm and an information technology of proximity tunnel blasting vibration control is creatively achieved, the bottleneck that a traditional method depends on experience trial and error, model static lag and vibration control and construction efficiency are difficult to consider at the same time is broken through, vibration speed control precision is improved, tunneling efficiency is improved, and meanwhile the construction efficiency is improved. The dynamic adaptability to complex geological conditions is remarkably enhanced, and a new generation of integrated solution is provided for safe, efficient and intelligent construction of the adjacent tunnel.

The invention relates to the technical field of tunnel engineering, in particular to a method and a system for optimizing design parameters based on unsymmetrical pressure tunnel blasting excavation dynamic response. The method comprises the following steps of obtaining geological parameters and construction parameters of surrounding rock of the bias tunnel, constructing a discontinuous structure equivalent damage model, and obtaining initial stress field distribution of a rock mass in combination with the discontinuous structure equivalent damage model, the geological parameters and the construction parameters; analyzing the time-varying modified dynamic mechanical parameters, and calculating through a stress wave propagation path and an energy dissipation rule to obtain a time travel curve of dynamic stress and vibration speed of each point of the surrounding rock in the blasting process; correcting a dynamic response index by using a self-adaptive artificial boundary condition to obtain a dynamic response state characteristic; and on the basis of the initial stress field distribution of the rock mass, the time history curve and the dynamic response state characteristics, optimal design parameters are obtained according to optimal design indexes. According to the method, the balance between the blasting vibration strength and the construction efficiency is realized by optimizing and adjusting the design parameters.

The invention relates to the technical field of tunnel blasting vibration monitoring, in particular to a tunnel blasting vibration monitoring and early warning integrated system based on lining crack conditions. According to the method, blasting vibration characteristic data are extracted from triaxial vibration signals of different key points in the tunnel blasting process, correlation analysis is carried out on the blasting vibration characteristic data and vibration characteristic data of corresponding reference points to judge the relevance between blasting vibration and crack response, and accurate judgment on the relation between blasting vibration and lining cracks is achieved; when blasting vibration and crack response have relevance, a dynamic safety threshold value is determined according to the lining crack health degree before tunnel blasting, and the dynamic safety threshold value is compared with vibration characteristic data in real time to trigger graded early warning; when blasting vibration and crack response are not correlated, the change rate of crack characteristic data is analyzed through comparison of lining crack conditions in multiple periods, the autonomous extension risk of cracks is predicted, reinforcement early warning is triggered, timely and reliable guarantee is provided for tunnel construction and operation safety, and lining cracks are effectively prevented from deteriorating.

The invention relates to the technical field of data processing, discloses a deep tunnel blasting control instruction generation method and system based on cross-scale data, and aims to solve the problems of uncontrollable rock mass damage, high support failure risk and parameter optimization lag in the existing method. According to the scheme, the method mainly comprises the steps that rock mass fracture density, blasting vibration velocity, supporting structure strain and blasting thermal disturbance temperature rise are monitored in real time, and a rock mass fracture vibration frequency band, a supporting structure resonance frequency band and power spectrum density of signals corresponding to the supporting structure strain are determined; calculating a rock mass damage index, rock mass fracture vibration energy, support structure vibration energy, a stripping index and support time-varying stiffness; determining a blasting parameter set based on a genetic algorithm, and predicting a predicted rock mass damage index at a future moment; the blasting parameters in the blasting parameter set are corrected, corresponding engineering measures are determined, and a blasting control instruction is generated. According to the invention, the accuracy of the control instruction, the safety of tunnel construction and the timeliness of control response are improved.

The invention provides a blasting vibration waveform feature extraction and damage range intelligent calibration system. The method comprises the following steps: calculating a waveform irregularity sequence based on original vibration waveform data; then, a fiber grating sensor network is used for collecting strain vibration waves on the surface of the structure, and spatial distribution information of the strain change rate of the structure is mapped into a feature enhancement channel; learning a feature distribution mode based on the waveform data processed by the feature enhancement channel by using a coding and decoding structure, and performing reconstruction operation on the current blasting vibration waveform according to the feature distribution mode; identifying and amplifying abnormal feature differences by comparing an actual waveform irregularity sequence with a reconstruction sequence, and generating reconstruction error peak distribution; and finally, when the strain gradient abrupt change point position detected by the optical fiber sensor network is overlapped with the reconstruction error peak point space, generating a blasting damage area thermodynamic diagram based on the overlapped point space density. The precision and reliability of blasting damage range calibration are improved.

The invention provides an intelligent decision-making method for tunnel micro-perturbation blasting, and relates to the technical field of tunnel and underground engineering blasting construction.The method comprises the steps that a Sadgowski empirical formula is improved by introducing geologic structure factors and ground stress factors, and a micro-perturbation response prediction model is obtained; the peak velocity of a mass point of a blasting vibration waveform is predicted through a micro-perturbation response prediction model, a three-objective optimization function is constructed, a blasting decision variable group is introduced, the three-objective optimization function is solved by applying an NSGA-III non-dominated sorting genetic algorithm, and a blasting result is obtained. The non-dominated solution set corresponding to the optimal blasting decision variable set and the peak velocity, the dominant frequency and the blasting damage area depth of mass points of the corresponding blasting vibration waveform are obtained, the problem that the coupling effect of a geological structure and ground stress is ignored in existing tunnel blasting is solved, and the method is suitable for intelligent decision making of deep tunnel blasting.

The invention discloses a blasting vibration and dust control-oriented multi-objective collaborative optimization parameter setting method, which comprises the following steps of: training a neural network model capable of predicting a complete vibration time travel curve and a three-dimensional dust concentration field on the basis of a training sample containing geological conditions, blasting parameters and an actual blasting effect; the model is used for carrying out multi-target optimization on a target function containing four indexes of vibration, dust, cost and regulation compliance through a preset evolutionary algorithm, a Pareto optimal solution set composed of a plurality of non-dominated parameter schemes is obtained, the schemes in the optimal solution set are analyzed through a preset explanation algorithm, and the optimal solution set is obtained. The influence and contribution degree of each blasting parameter on a prediction result are quantified, so that a black box model is converted into an interpretable white box decision; according to the method, the problems that a traditional method is difficult to balance multiple conflict targets and the decision-making process is opaque are solved, and an optimal blasting parameter scheme considering safety, environmental protection and cost effectiveness is provided for blasting operation.

The invention provides an electric power facility dynamic safety evaluation system based on blasting vibration propagation characteristics, which relates to the field of electric digital data processing and comprises a sensing and data acquisition module, a physical modeling and parameter library module, a real-time evaluation and risk inference module and a feedback execution and self-adaption module. The sensing and data acquisition module is used for converting on-site physical signals into high-quality data streams, the physical modeling and parameter library module is used for providing and building physical modeling and managing parameter information, and the real-time evaluation and risk inference module maps sensing data into system states and risk indexes through observation-model assimilation. The feedback execution and self-adaption module is responsible for driving decision execution, collecting feedback and continuously improving a system model; the system can monitor the influence of blasting vibration on electric power facilities in real time, accurately evaluate the structural damage degree and the system operation risk, and provide a scientific basis for safety protection and emergency decision-making of the electric power facilities.

The invention provides a non-uniform load lower end slope mining supporting coal pillar dynamic stability evaluation method, and belongs to the technical field of end slope mining supporting coal pillar dynamic stability evaluation. In order to solve the technical problem that under the condition that blasting vibration and overlying strata coupling effects are not considered in a conventional coal pillar stability evaluation method, risks possibly exist in personnel and an end slope coal mining machine due to supporting coal pillar parameter design, the adopted technical scheme comprises the steps that end slope retention coal and overlying strata rock samples are collected; testing physical and mechanical parameters of the retained coal and the rock sample of each overlying rock stratum; based on the dynamic response and deformation rule of the supporting coal pillar under the coupling action of the non-uniform static load and the blasting dynamic load, establishing a supporting coal pillar dynamic instability criterion based on a sudden change theory; based on the relation model of the maximum bending moment and the tensile stress of the coal pillar roof under the dynamic-static load coupling effect, a roof dynamic instability criterion based on the strength theory is established; the method is used for controlling the stability of the open pit coal mine end slope mining supporting coal pillar.

The invention discloses a low-vibration multi-point delay digital twin drive intelligent electronic detonator blasting control method, and relates to the technical field of blasting vibration control, and the method comprises the steps: 1, constructing a frequency weight curve and a weighted energy index, and unifying a time scale and three-component measurement; 2, establishing a virtual field by using a single-hole signature library, instrument transfer function deconvolution and a boundary correction propagation operator; step 3, performing delay optimization in combination with a timing characteristic function and a partition phase, and setting a keyhole read-only and weighted threshold; fourthly, programming backward reading is conducted, gating is conducted through a consistency index and an admission ratio, only one-time fine adjustment is conducted on the non-key hole on line according to an expected energy track and deviation statistics, and block assimilation updating is conducted later. According to the scheme, quantitative suppression of sensitive frequency band energy is achieved, and construction efficiency and traceability are kept. Through unified parameter and data object through identification, database building, optimization, execution and feedback, the scheme consistency is improved, the trial explosion frequency is reduced, supervision and acceptance are facilitated, and redisk tracing is supported.

The invention discloses a mine blasting design optimization method and device based on digital twinning and a medium, and relates to the technical field of digital twinning, and the method comprises the steps: collecting terrain three-dimensional point cloud, geological drilling records, joint and fracture distribution and rock mass mechanical parameters of a physical mine, and constructing an initial digital twinning body; through a deep reinforcement learning algorithm of a multi-target reward function, performing multiple rounds of interactive training in a digital twinborn simulation environment to obtain a deep reinforcement learning agent; implementing an optimal blasting scheme in the physical mine, acquiring blasting vibration signals, and inputting the blasting vibration signals into the vibration inversion neural network to obtain rock mass parameter correction values; the updated digital twinborn body is corrected based on the rock mass parameter correction value, a blasting simulation scene is reconstructed, blasting energy distribution, fragment granularity and slope stability are evaluated, and a blasting design optimization feedback data set is generated; a high-fidelity initial digital twinborn body fused with multi-source geological information is constructed, and the safety of mine blasting operation is effectively improved.

The invention discloses a rock-fill dam-level burdening blasting mining method, system and device and a medium. The method comprises the following steps that firstly, blasting parameters are intelligently designed; step 2, dynamically controlling the drilling precision; 3, implementing a coupling charging structure; step 4, accurately detonating the electronic detonator; step 5, grading online detection after explosion; and 6, blasting vibration is monitored and fed back in real time. According to the method, a blasting parameter mathematical model is constructed, multiple parameters and constraint conditions are integrated, accurate parameters are output, and secondary machining of stone is reduced; a distributed optical fiber sensing network is arranged, and fine control over blasting vibration is achieved; an unmanned aerial vehicle is used for scanning a muck pile, a compensation scheme is automatically generated, the loading and transporting efficiency is improved, meanwhile, a multi-parameter coupling model is established, a dynamic adjustment scheme is monitored and fed back in real time, the management fragmentation problem is solved, and multiple measures are adopted to improve the accuracy and safety of blasting mining.

The invention relates to a method for obtaining credible blasting vibration dominant frequency, which solves the problem of dominant frequency prediction under complex geology through EMD-HHT multi-scale decomposition and statistical confidence interval analysis and is difficult to adapt to dynamically changing construction conditions. EMD decomposition adaptively eliminates low-frequency noise caused by nonlinear response of the rock mass, and the signal-to-noise ratio is increased; a main frequency determination strategy is automatically switched through confidence interval width (RW) to adapt to complex geological conditions; 95% confidence coefficient ensures that a dominant frequency predicted value accords with actual energy distribution; compared with a traditional Samsu formula, the main frequency prediction error is reduced by more than or equal to 40%.

The invention provides a tunnel blasting vibration monitoring method and system based on image recognition, and relates to the technical field of tunnel safety monitoring, and the method comprises the steps: obtaining a geological parameter set of a tunnel target region and an image sequence of a blasting moment; carrying out fluctuation analysis on geological parameters to obtain vibration characteristic data reflecting rock mass non-uniform characteristics, synchronously carrying out optical flow analysis and region identification processing on an image sequence, respectively generating a displacement vector field and an identification deformation region, carrying out spatial association on the vector field and a micro-deformation region to form vibration field data with rock mass structure characteristics, and carrying out vibration field identification processing on the vibration field data; and coupling with the vibration characteristic data to reconstruct a three-dimensional propagation path, and finally identifying a damage risk area of the tunnel target area based on an energy distribution pattern on the path. According to the method, the damage risk identification precision of the tunnel rock mass under blasting vibration is improved.

A comprehensive monitoring and handling method for a destruction region after an extremely strong time-delayed rockburst occurs, which method relates to the technical field of deep-underground hard-rock tunnel engineering. By means of providing micro-seismic monitoring systems in a destruction region of an extremely strong time-delayed rockburst, carrying out a crustal stress test (1), an acoustic wave test and borehole imaging (2), and blasting vibration monitoring of the surface and interior of surrounding rock, and performing long-term disturbance stress monitoring on the destruction region of the extremely strong time-delayed rockburst. Therefore, with regard to the aftermath of an extremely strong time-delayed rockburst, the monitoring efficiency is improved, and a rational and effective support system is established, thereby ensuring later-stage safety.

The invention discloses a rock mass damage identification method and system for carbon dioxide blasting dynamic disturbance. The method comprises the steps that a blasting vibration and micro-fracture signal sequence is obtained; the theoretical model and historical statistics are fused, and a theoretical dynamic load time history and an expected vibration response baseline are generated through inversion; through multi-sensor signal fusion, identifying a main vibration phase and defining a precursor and aftereffect analysis window; calculating multi-dimensional quantitative characteristics of the micro-fracture activity in the window; identifying a dynamic disturbance abnormal region based on double baseline comparison; a multi-dimensional quantitative coupling model of space, time and energy evolution is established, and a newly-added damage area of the rock mass is accurately judged; and finally, judging a damage dominant mechanism by combining pre-effect and post-effect feature correlation analysis. According to the method, the problems that a traditional method is difficult to distinguish blasting induced damage and background activity, and accurate damage positioning and mechanism judgment cannot be achieved are solved, the accuracy, reliability and engineering practicability of damage identification are remarkably improved, and intelligent decision support is provided for blasting effect evaluation.

The invention provides a method and system for determining time delay between auxiliary hole subsection detonating network sections, and belongs to the technical field of tunnel blasting design. A single-hole blasting experiment and blasting experiments with different explosive loads are carried out to obtain the change relation of the single-hole vibration speed along with time and the relation between the explosive loads and the waveform vibration speed peak value, and the time delay of the auxiliary hole subsection detonating network sections is determined according to the change relation of the single-hole vibration speed along with the time. And determining a peak value of the explosive load based on a safe vibration velocity threshold value, meanwhile, setting inter-section delay and inter-row delay of the same row based on an auxiliary hole same-row segmentation mode, an inter-row segmentation mode of auxiliary holes and a blasting sequence, constructing a single-section blasting vibration waveform function, and carrying out superposition and calculation on multi-section vibration waveforms of the same row, so as to obtain a multi-section blasting vibration waveform. According to the method, the optimal delay time between the same-row segmental blasting segments is determined, then the optimal delay time between the rows is determined by constructing a single-row blasting vibration waveform function and carrying out multi-row vibration waveform superposition and calculation, finally, a blasting delay scheme is generated, and accurate control over blasting vibration is achieved.

The invention discloses a graded blasting construction method for a shallow-buried soft rock tunnel sensitive section. The method comprises the steps that measuring points are arranged in a tunnel chamber, a ground surface non-cavity section and a cavity section, and blasting vibration data are obtained; peak vibration velocity prediction models are established in a partitioned mode, an attenuation model is adopted in a chamber, a correction term is introduced into a non-cavity section of the earth surface to correct the attenuation model, and a multivariable model is established for the cavity section through dimensional analysis by integrating the horizontal distance, the elevation difference, the explosive quantity, the rock mass density and the tensile strength; determining a ground surface vibration velocity safety threshold, and quantifying a cavity vibration velocity amplification coefficient and an influence range thereof; based on the peak vibration velocity probability distribution and a preset safety level, establishing a safe dose prediction model and a safe range model; and dividing control areas according to the model, and implementing graded construction. According to the method, the vibration propagation law can be accurately described, the cavity amplification effect can be quantified, dynamic prediction of the blasting safety explosive quantity and range is achieved, and disturbance of blasting vibration to surrounding rock is effectively controlled through hierarchical management and control.

The invention discloses an underground blasting safety assessment method and device based on the BIM technology and a medium, and relates to the technical field of underground engineering safety assessment, and the method comprises the steps: collecting blasting geological data, blasting design parameters and surrounding environment information of a blasting site, and constructing a blasting region BIM model; performing blasting vibration spectrum analysis on the blasting geological data and the blasting design parameters, extracting vibration spectrum data, integrating the vibration spectrum data into a blasting area BIM model, dynamically displaying a vibration attenuation field through a finite element analysis algorithm, and obtaining a vibration attenuation graph; performing three-dimensional modeling by analyzing a stress concentration area in the vibration attenuation map and the vibration spectrum data and combining geological information in the BIM model of the blasting area, predicting a fracture extension path in the blasting process, and identifying a high fracture propagation risk area; and potential risks in blasting operation are effectively reduced, and safety protection on personnel and the environment in the construction process is ensured.

The invention provides a tunnel micro-seismic blasting targeted protection control method and device, and relates to the technical field of tunnel blasting, and the method comprises the steps: obtaining the distance between a protected building and a tunnel, and building a blasting vibration wave propagation model based on the distance and an initial attenuation coefficient; calculating predicted vibration data of seismic waves generated by each blasting section in a preset blasting scheme, wherein the seismic waves are transmitted to the protected building; taking the minimum theoretical peak vibration velocity of the protected building as a target, and calculating by adopting a numerical optimization algorithm to obtain a non-equal-difference detonation delay sequence of each blasting section; when the detonating time interval of the adjacent detonating sections is not equal to the integral multiple of the inherent main earthquake period, detonating is carried out according to the non-equal-difference detonating delay sequence; and comparing the actually measured vibration data with the predicted vibration data, and adjusting the attenuation coefficient based on the comparison result, thereby effectively preventing the resonance effect, preventing the vibration energy from being amplified, and ensuring the construction safety.

The invention discloses a surface blasting full-time-history vibration synthesis prediction method which comprises the following steps: S1, acquiring geological parameters of a surface blasting area, blast hole arrangement parameters and explosive quantity parameters, and arranging vibration monitoring points in a protection area of the blasting area; and S2, on the basis of the Anderson theory, a single-hole vibration curve reconstruction model is established when the free surface condition is not changed in combination with an on-site limited single-hole blasting experiment, and the model takes the quantitative mapping relation between the vibration velocity peak value and the explosive quantity, the distance from the blast hole to the monitoring point and the site factor as the core. According to the method, accurate prediction of large-scale open blasting full-time-history vibration is realized, and a reliable technical means is provided for collaborative optimization of blasting vibration control and a crushing effect.