69 results about "Blast effects" patented technology

The invention discloses an evaluation and improvement method and device for a tunnel blasting effect and a medium, and relates to the technical field of tunnel engineering.The evaluation and improvement method comprises the steps that a tunnel coupling data set is collected, space registration and three-dimensional shape reconstruction are conducted, fracture space distribution is formed, risk probability mapping is conducted on the fracture space distribution, and a fracture risk thermodynamic diagram is output; the fracture risk thermodynamic diagram and tunnel rock mass data are input into a digital twin blasting model, a load mapping layer carries out load gradient distribution, a rock mass response deduction layer carries out stress wave propagation simulation and damage accumulation quantification, an optimized blasting number instruction set is generated, and a drill jumbo is driven to execute blasting operation and vibration monitoring according to the optimized blasting instruction set. And actual blasting effect parameters are obtained. According to the method, accurate simulation of geological conditions and optimal adjustment of blasting parameters are realized through the digital twin blasting model, and meanwhile, refined and interpretable evaluation of the blasting effect is realized through vibration monitoring and error propagation modeling of the actual blasting effect.

The invention discloses a physical-data dual-drive bench blasting effect prediction method in the technical field of blasting construction and intelligent mining, which comprises the following steps of: dynamically calibrating a fractal dimension field, and constructing a rock blasting classification model by combining blasting indexes such as fractal gradient, rock density, uniaxial compressive strength and drilling speed; performing three-dimensional reconstruction on the geometric morphology of the step before blasting by using an unmanned aerial vehicle high-precision modeling technology, and importing a finite element simulation model to predict a key blasting effect; collecting an actual blasting effect after blasting, and correcting parameters of the numerical simulation prediction model; and constructing a data set of actual lumpiness distribution of the muck pile, establishing a mapping relation between the rock detonability grade and the charge density, and optimizing the differential time sequence and the single-hole charge amount. According to the invention, through fractal dimension field dynamic mapping and real-time feedback control, accurate adaptation of blasting energy and a rock mass structure is realized.

The invention discloses an asymmetric and uncoupled tunnel smooth blasting method. The method comprises the steps that surrounding rock grading data and initial ground stress distribution of a target area are obtained, and a low-damage trial blasting scheme is optimized; drilling operation is conducted on the basis of the low-damage trial explosion scheme, a specific pre-charging place is selected to assemble an asymmetric non-coupling refined charging sleeve device, and a peripheral hole pre-charging sleeve device is further assembled; the peripheral holes are filled through a peripheral hole pre-charging sleeve device, other blast holes are filled in a continuous charging mode, and blocking is conducted after filling is completed; and constructing a detonating network, ventilating after detonating, checking the detonating effect, and iteratively optimizing a trial detonating scheme according to a damage judgment result. According to the method, the acting direction and the acting range of energy during blasting of explosives in peripheral holes can be accurately controlled, so that the disturbance influence of the blasting effect on surrounding rocks is relieved, the blasting damage degree of the surrounding rocks is reduced, construction safety is guaranteed, the occurrence frequency of back break phenomena is reduced, and the construction efficiency can be greatly improved.

The invention discloses a tunnel mining engineering blasting effect evaluation and analysis method based on the Internet, and relates to the technical field of tunnel mining engineering, and the method comprises the steps: carrying out the synchronous fusion of a multi-modal feature set, and generating a multi-dimensional blasting feature representation; performing multi-scale time sequence decomposition and spectrum energy clustering on the multi-dimensional blasting characteristic representation to generate a blasting response mode, and performing statistics and spectrum analysis to generate a blasting effect evaluation index set; comparing the blasting effect evaluation index set with a standard template in a historical blasting engineering database to generate a deviation reference, and calculating a current blasting effect deviation degree by adopting a Bayesian dynamic inference method to generate a deviation vector; performing dynamic weight adjustment and feature contribution correction on the deviation vector to generate a comprehensive blasting effect scoring result; and analyzing and summarizing the comprehensive blasting effect scoring results to generate a blasting effect evaluation report. The reliability of blasting quality control and safety early warning is improved.

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 discloses a tunnel engineering blasting effect evaluation and analysis method based on big data, and relates to the technical field of geotechnical engineering monitoring, and the method comprises the steps: constructing a blasting digital twinborn body based on a blasting energy thermodynamic diagram, reconstructing a rock mass fracture extension three-dimensional characteristic field according to space energy density distribution, and generating a triangular mesh model for simulating a blasting contour; aligning the real spot cloud data of the tunnel blasting section with the triangular mesh model of the blasting contour to obtain a contour deviation value and a three-dimensional contour deviation field, identifying a contour deviation sagittal plane domain and marking a stake mark interval position; and based on the space energy density distribution and the contour deviation value, predicting a blasting effect comprehensive score, and generating a blasting effect analysis report. According to the method, multi-dimensional intelligent evaluation of the blasting effect is realized through learnable weight parameters and a Sigmoid gating mechanism, the overall effect can be reflected, the cause of a specific problem can be positioned, and a continuously optimized evaluation system is formed.

The invention discloses a mine open bench blasting fine intelligent design method, and relates to the technical field of mine blasting. The method comprises the following steps: collecting mine blasting schemes and blasting effect information at home and abroad, and establishing a mine blasting scheme historical database; establishing and training an underwater slope blast hole net parameter prediction model based on a machine learning algorithm and a historical database, and inputting the explosibility of a mine into the prediction model to recommend proper blast hole net parameters; parameters while drilling in the drilling process are monitored and obtained, rock mass mechanical parameters of an operation area are inversed in real time, and charging parameters are determined in combination with hole net parameters; numerical simulation is carried out on the scheme; on-site trial explosion is carried out on the determined scheme, on-site multi-source monitoring is carried out, the reasonability of the explosion scheme is evaluated, and the database is dynamically updated. Technical support can be provided for safe, efficient, green and intelligent mine blasting.

The utility model belongs to the technical field of blast hole measuring devices, and particularly discloses a blast hole measuring device in a surface mine, which is characterized in that two sides of a base are respectively connected with a fitting plate through a telescopic assembly, and a measuring scale for measuring the distance between the fitting plates is arranged on the telescopic assembly; a movable seat is movably connected below the base and can move left and right in the axial direction of the base, a laser range finder is arranged below the movable seat through a mounting support, the mounting support is movably connected with the movable seat, the mounting support can drive the laser range finder to slide front and back in the axial direction of the movable seat, and multi-point measurement is achieved. By utilizing the device for measuring the blasting hole in the surface mine, the diameter and depth of the blasting hole can be quickly and accurately obtained, the placement of explosives can be accurately guided, the blasting effect can be improved, and obvious errors of a measurement result caused by the fact that a light path of the laser range finder is blocked by some bulges or broken stone powder in the blasting hole can be avoided.

The invention relates to the technical field of geotechnical engineering numerical simulation, in particular to a tunnel blasting minimum delay time judgment method based on blasting effect evaluation, which comprises the following steps: acquiring a tunnel face surrounding rock breaking coefficient and basic mechanical parameters; establishing an equal-scale model of the tunnel face; the rock mass throwing volume in the unit time is counted, and the relation between the rock mass throwing volume in the unit time and the free face appearance volume in the unit time serves as the minimum delay time judgment basis; determining an optimal free face forming effect based on the minimum delay time judgment basis; according to the optimal free face forming effect, the minimum delay time of each row of blast holes is sequentially judged; and a blasting effect evaluation index is constructed, and if the blasting effect is larger than or equal to the blasting excavation qualification rate and smaller than or equal to the annular flatness, it is judged that the minimum delay time of each row of blast holes is the final blasting delay time. The closed-loop optimization of blasting parameters is realized, and the problems of serious back break, poor smoothness, non-ideal lumpiness and the like in tunnel smooth blasting are effectively solved.

The application discloses a kind of mine exploitation with blasting hole auxiliary positioning device, specifically relates to laser positioning technical field, including laser positioning assembly, angle control machine component and light spot receiving assembly, laser positioning assembly includes laser emitter and laser range finder, laser emitter is used to emit laser beam, and form light spot on working face, laser range finder is used to measure the distance parameter of light spot to laser positioning assembly, light spot receiving assembly includes light spot receiving plate and identification component, and positioning reference hole is arranged in the middle of identification component.The application can quickly and effectively find error problems by using laser range finder to verify distance, at the same time, light spot is corrected using light spot receiving assembly, so as to effectively improve the positioning accuracy of light spot, further reduce the influence of blasting hole on blasting effect, at the same time, the above positioning scheme does not need artificial measurement positioning one by one, and can effectively improve work efficiency.

The utility model provides a throwing structure of a spacer, which solves the technical problems that the position of the spacer is fixed only through a rope after the spacer is buried, the spacer is easy to translocate under the pressure of covering soil, the actual blasting position is changed, and the blasting effect is poor in the existing throwing mode of the spacer, and can be widely applied to the field of mining equipment. The device specifically comprises a sleeve rod, a throwing rod is arranged in the sleeve rod in a sleeved mode, the throwing rod can slide and stretch out and draw back in the sleeve rod, and a spacer is arranged below the throwing rod; the spacer comprises an anti-tripping buckle and a containing bag, the anti-tripping buckle comprises a connecting rod, the top of the connecting rod is connected with an upper hanging ring, and the bottom of the connecting rod is connected with a limiting disc; a lower hanging ring is connected to the bottom of the limiting disc and hangs a containing bag through a traction rope. The spacer is further provided with a fixing assembly used for fixing the spacer in the blast hole after the spacer is separated from the throwing rod.

The blasting method comprises the steps that according to engineering geological conditions and blasting effect requirements, blasting engineering design is carried out, drilling parameters, a detonating time sequence and plugging requirements are determined, according to the drilling parameters, a charging structure matched with the specification is selected, and a blasting process is carried out according to the selected charging structure. And the explosive charging structures filled with the explosives are assembled outside the drill hole according to the designed interval, the drill hole is pushed, and a hole opening is blocked. And the space between the charging structure and the hole wall of the drill hole is filled with rapid hardening slurry, and gas in the drill hole is exhausted through the exhaust pipe. And after the slurry in the hole is solidified, final connection of the detonating network is completed in a safe area outside the hole, and after comprehensive inspection and warning setting, a detonating station commands to excite the network to achieve detonating. According to the segmented plugging blasting method for the ascending drill hole, the hole sealing length is shortened, the axial distribution of blasting energy is optimized, the energy effect of a hole opening area is effectively enhanced, and the boulder rate is reduced.

This invention discloses a method and system for optimizing blasting effects in open-pit mines based on video target recognition, belonging to the fields of mining and image or video recognition. The method includes: acquiring digital borehole design data and blasting design parameters for the target blasting area; collecting video data from before to the end of blasting using a drone; extracting video frames before blasting and identifying unblasted boreholes using a first target detection model; determining the borehole number of each unblasted borehole; extracting the video sequence after blasting, identifying punching targets using a second target detection model, and determining the trajectory of the punching targets using a multi-target tracking algorithm; matching the positions of the punching targets with the unblasted boreholes whose numbers have been matched to determine the borehole number of each punching target; acquiring the actual coordinates, actual hole depth, blasting design parameters, and punching event feature parameters for each punching target; and obtaining the borehole diagnosis result based on a preset diagnostic rule base. This invention can efficiently and accurately diagnose and optimize blasting effects.

The method for high-efficiency blasting excavation of large-section roadway, wherein the large-section roadway is divided into several regions by pre-splitting blasting, each region has a length of 3-5 m and a height of 2-4 m; the pre-splitting holes are arranged in rows and columns and are cut horizontally and vertically on the roadway section; the pre-splitting holes are divided into pre-splitting blasting holes and pre-splitting empty holes, the pre-splitting blasting holes and the pre-splitting empty holes are arranged alternately, the pre-splitting blasting holes are charged with a cartridge, the hole diameter is 40 mm, and the hole depth is about the single blasting excavation footage of the roadway; the pre-splitting empty holes are not charged with a cartridge, the hole diameter is 60-80 mm, and the hole depth is about the single blasting excavation footage of the roadway plus 100 mm; the pre-splitting blasting holes are initiated first, then the blasting holes in each region separated by the pre-splitting blasting holes are initiated, the initiation sequence between regions is that the upper regions are initiated first and then the lower regions are initiated; the initiation sequence of the blasting holes in a region is that the cutting eyes are initiated first, then the middle hole charging sections are initiated, and then the first-level auxiliary eyes and the second-level auxiliary eyes are initiated step by step; after the blasting of all the blasting holes in the regions is completed, the smooth blasting holes on the perimeter of the roadway section are initiated last, and the method has the advantages of reducing large rock blocks in large-section roadway blasting, improving the cutting and blasting effects and the blasting efficiency, etc.

This utility model discloses a thermal expansion agent ignition device, including a cartridge, a sealing head screwed to the upper end of the inner wall of the cartridge, and a thermal expansion agent filled inside the cartridge. A support is inserted into the inner wall of the mounting head, and the outer wall of the support is connected to the mounting head through a sealing structure. An electric wire is electrically connected to the outer end of the resistance wire. The thermal expansion agent is contained in the cartridge, and the entire cartridge is sealed by the sealing head to ensure the explosive effect of the thermal expansion agent. The electric wire tube, as an important tool for igniting the thermal expansion agent, is filled with a composite phase change material, which can effectively shorten the response speed and avoid the phase change hysteresis effect of traditional expansion agents. Through the cooperation of the mounting head and the support, and the function of the sealing structure, the electric wire tube and the internal composite phase change material can be effectively protected, playing an important role in waterproofing, moisture-proofing, and dustproofing, ensuring the ignition effect. The resistance wire is connected to the electric wire, and the heating of the resistance wire is controlled by a switch, which is simple, convenient, and easy to operate.

This invention relates to the field of image data processing technology, specifically to a deep learning-based intelligent identification system and method for blasted rock mass size. The method includes: acquiring images of rock accumulation at a blasting site using an image acquisition device; importing these images into a deep learning-based intelligent identification system for blasted rock mass size; analyzing the blasted rock mass size data; generating blasted rock mass size curves; and performing a reasonable analysis of the blasting effect. The intelligent identification system for blasted rock mass size includes an image preprocessing module, a rock mass size analysis module, and a result visualization module. The image preprocessing module performs image enhancement, noise reduction, and segmentation; after feature extraction via a convolutional neural network, the rock mass size identification module performs rock mass segmentation, classification, and size measurement; the rock mass size analysis module statistically generates distribution curves; and the visualization module presents the results. This identification system achieves automatic, rapid, and accurate identification of rock mass size in complex scenes, effectively improving the efficiency and accuracy of blasting effect evaluation.

This utility model discloses an auxiliary charging structure for open-pit water-bearing blast holes, including a water-bearing blast hole and an auxiliary charging mechanism. The auxiliary charging mechanism further includes a longitudinal guide cable, a counterweight, emulsion explosive rolls, a detonating cord, a transverse fixing cable, and a plugging section. The bottom end of the longitudinal guide cable is connected to the counterweight, which is located at the bottom of the water-bearing blast hole. The top end of the longitudinal guide cable extends to the outside of the water-bearing blast hole. Several rolls of emulsion explosive are wrapped from bottom to top on the longitudinal guide cable above the counterweight via the transverse fixing cable. Each roll of explosive also contains the same detonating cord, the top end of which extends to the outside of the water-bearing blast hole along with the longitudinal guide cable. The plugging section is located at the top of the water-bearing blast hole. The function of this utility model is to provide an auxiliary charging structure for open-pit water-bearing blast holes, thereby optimizing the charging structure, improving blasting effects, and reducing the residual explosive rate.

The application relates to a blasting effect evaluation method based on a GNSS high-precision space-time reference, comprising the following steps: acquiring blasting seismic wave signals of multiple blasting sources in blasting operation through multiple measuring points with GNSS high-precision space-time reference arranged in a target rock mass region; extracting P-wave arrival time based on the blasting seismic wave signals of the multiple blasting sources, acquiring multiple groups of blasting event P-wave arrival time data groups corresponding to the same blasting source; determining the expected spatial position of all target blasting sources through blasting source parameter iterative search based on residual evaluation; identifying blind shots and determining the positioning blasting source through the expected spatial position; constructing a rock mass PPV space comprehensive distribution field based on a PPV value set of each positioning blasting source, and determining a rock mass damage region and degree caused by the blasting operation in combination with a wave velocity drop quantitative value; and obtaining a blasting effect evaluation result based on the blind shot identification result and the rock mass damage region and degree caused by the blasting operation. The application can realize accurate and rapid blasting effect evaluation.

The invention discloses a CO2 blasting construction method based on whole-course real-time wireless monitoring, and the method comprises the steps: carrying out the uninterrupted real-time monitoring of blasting vibration parameters in the whole blasting process, carrying out the denoising processing of collected vibration signals, carrying out the feature analysis of the denoised signals, obtaining the vibration velocity, frequency and energy feature maps of blasting, and carrying out the real-time monitoring of the blasting vibration parameters. And establishing the correlation between the change of different blasting effects and the blasting signal feature map of the measuring point by adjusting blasting parameters. And during field blasting, the blasting effect is judged through the blasting signal feature map which is analyzed and processed in real time, the blasting effect needing to be achieved in the next step is determined, and then blasting parameters are changed to guide the blasting operation in the next step. Compared with a traditional CO2 blasting construction method, the vibration state can be mastered in the whole process, the blasting effect can be analyzed in real time, the blasting operation of the next step is guided, the construction risk is reduced, funds are saved, the construction period is shortened, and the construction cost is reduced.

The application provides a blasting effect rendering method and device, electronic equipment and storage medium. The blasting effect rendering method comprises the following steps: forming a first model with a normal line inward in a world space of a game engine, and configuring a material of the first model as semi-transparent and closing a depth test; acquiring a second model located inside the first model; acquiring three position components of a vertex position of a vertex on the second model on three direction axes of a model space of the first model, forming a first vector corresponding to the vertex with the three position components; screening two position components from the three position components of the first vector as texture sampling coordinates corresponding to the vertex based on a normal direction of the vertex on the second model; acquiring a blasting map, and mapping the blasting map on the second model according to the normal direction of the vertex and the corresponding texture sampling coordinates, so as to obtain a blasting effect. The blasting effect rendering method provided in the application embodiment can reduce the rendering consumption of the blasting effect.

The present application relates to the technical field of blasting construction, and in particular to a method for safety evaluation and analysis of harmful effects of metro tunnel blasting, comprising: based on the tunnel contour line, monitoring points are arranged along the axial and radial directions of the tunnel to obtain real-time blasting data of the metro tunnel blasting; according to the spatial position corresponding to the last blasting section, the damage range and damage intensity of each blasting are defined; according to the damage intensity of each monitoring point in the damage range, the damage intensity is processed according to the single-point blasting effect and the multi-point superposition blasting effect to construct the spatial mapping relationship corresponding to each monitoring point; based on the spatial mapping relationship of each monitoring point, the harmful effect state of each monitoring point is identified, and when the harmful effect state of the monitoring point is the activated state, the propagation path between the monitoring points is constructed; the data on the propagation path is coupled and correlated, and the output times of the monitoring points in the propagation path are used to generate the judgment level of the harmful effect. The accuracy and efficiency of the analysis of the harmful effects of blasting are improved.

The invention discloses a quantitative analysis method for a jointed rock mass blasting cracking mode, which comprises the following steps: establishing a jointed rock mass blasting stress wave propagation theoretical model, deducing a propagation equation of stress waves in a jointed rock mass, and determining stress wave reflection, transmission and superposition rules; a jointed rock mass blasting numerical model is constructed based on ANSYS / LS-DYNA software, material parameters and state equations of rocks, joints, explosives and air are determined, an RHT damage model is adopted for the rocks and the joints, an MATHIGHEXPLOSIONBURN model is adopted for the explosives and combined with an EOSJWL state equation, and an EOSLINEARPOLYNOMIAL state equation is adopted for the air. According to the method, theoretical derivation, numerical simulation and image quantitative analysis are combined, and quantitative analysis of the blasting cracking mode of the jointed rock mass is achieved. The engineering cost can be effectively reduced, and the blasting effect and the construction safety are improved.

The application discloses a kind of urban sensitive area hard rock shaft shock absorption and noise reduction blasting construction methods. Including the following steps: step 1, install sound insulation and noise reduction closed greenhouse;Step 2, blasting free face;Step 3, drilling;Step 4, shock hole;Step 5, charge;Step 6, network connection: step 7, cap: step 8, in the case of large section, adopt partitioned blast way, the application effectively reduces the influence on daily life of residents;Effectively solve the problem of hard rock rotary drilling hole difficulty;Reduce the damage of blasting to surrounding rock, improve the stability of surrounding rock and can play a shock absorption effect;Adopt single-hole single-response hole micro-delay blasting technology, neither will produce subsequent blasting hole shock wave superposition, nor will occur due to blasting hole explosion damage subsequent blasting hole foot line problem to improve blasting quality;In surrounding hole, water column interval charging is beneficial to improve blasting effect and can reduce blasting vibration and reduce dust.

The application discloses a kind of based on excavator positioning and visual analysis's explosive heap space construction and visualization method, belong to intelligent mine and image processing field, comprising: the initial three-dimensional surface model of constructing explosive heap;In the process of excavating explosive heap material, the space coordinates of each bucket material and material image are synchronously acquired and are aligned with timestamp after forming data packet together;Based on the material image of each bucket, corresponding blasting effect score is generated by image segmentation and block degree analysis;The space coordinates of each bucket material is taken as its sampling center in explosive heap, and corresponding blasting effect score is taken as attribute and mapped to initial three-dimensional surface model, so that each vertex in mapped three-dimensional surface model is endowed with an attribute value;According to the attribute value of vertex, color mapping is carried out on the model according to the preset mapping rule, and a visual three-dimensional model reflecting the spatial distribution of blasting effect is obtained.The application can accurately and intuitively display the blasting effect of explosive heap, and provide direct basis for blasting parameter optimization.

The present application mainly relates to the technical field of tunnel engineering, in order to solve the problem of poor blasting effect caused by the lag of tunnel excavation face blasting effect evaluation and the single evaluation index, the present application provides a tunnel excavation face blasting effect evaluation method and system based on digital image technology, the core of which is: through establishing a rock mass identification model to identify the lithology distribution result of rock mass image, the lithology distribution and lithology area proportion of the excavation face are obtained, a blastability index analysis model is established based on the lithology distribution, lithology area proportion and flatness of rock mass, the influence of artificial experience on rock mass judgment is eliminated, the blastability characteristics of rock mass are quantified, data support is provided for the accurate matching of blasting parameters and blastability characteristics of rock mass in advance, and the blasting parameters are adjusted based on the blastability index combined with the flatness of rock mass, overbreak surface and underbreak surface, breaking through the limitation of single evaluation dimension of traditional method, and comprehensively improving the blasting effect.

The utility model discloses a copper-sheet-free self-firing mechanism in the technical field of gas cylinders. The copper-sheet-free self-firing mechanism comprises a shell, a moving inner cavity is formed in the shell, a pushing head is arranged on the inner wall of the top end of the moving inner cavity, a sealing ring is fixedly connected to the outer wall of the pushing head, and a bottom end mounting cavity is formed in the bottom of the pushing head. According to the utility model, the traditional copper sheet design is abandoned, and a simpler and more reliable mechanical structure is adopted. Therefore, the replacement, disassembly and assembly processes of the product become simpler and more convenient, and the operation difficulty and time cost of a user are greatly reduced. Blasting can be achieved without depending on pressing and breaking of a copper sheet, and the mechanism has higher reliability and safety in the assembling and using process. Even if slight assembly errors occur, the blasting effect cannot be obviously influenced. The copper-sheet-free self-firing mechanism can be widely applied to various gas cylinder products needing the blasting effect, and has wide adaptability and application prospects.

This invention relates to the field of tunnel engineering technology, specifically to a device and method for extracting features of blasted rock mass in tunnels based on image recognition technology. The device includes an image acquisition unit, an image preprocessing and enhancement unit, an image stitching and imaging optimization unit, and an intelligent rock mass feature extraction unit. This invention achieves simultaneous acquisition of multimodal data through high-definition image acquisition, 3D point cloud scanning, environmental perception, and precise positioning control. Furthermore, it utilizes a physical model-driven deep learning hybrid architecture for image preprocessing and enhancement, effectively suppressing dust noise and enhancing fracture texture features under low-light conditions. Multimodal data fusion and coupled analysis with a rock mechanics model enable precise quantitative assessment of the rock mass fracture network topology, fragment size distribution, and blasting energy distribution. This provides a scientific basis and technical support for evaluating blasting effects and analyzing safety in tunnel engineering.

The application discloses a kind of asymmetric decoupling tunnel smooth blasting method, comprising: obtaining the surrounding rock classification data of target area and initial ground stress distribution and optimizing low-damage test blasting scheme;Based on the low-damage test blasting scheme, drilling operation is carried out, and asymmetric decoupling fine charging casing device is assembled by selecting specific pre-charging site and assembling peripheral hole pre-charging casing device;The surrounding hole is filled by the peripheral hole pre-charging casing device, and the remaining blast hole is filled by using continuous charging method, and is blocked after filling is completed;Build initiation network, ventilate after initiation and check blasting effect, and iteratively optimize test blasting scheme according to damage determination result.The application can accurately control the working direction and range of energy of explosives in the surrounding hole during blasting, thereby reducing the disturbance of blasting effect on surrounding rock, reducing the damage degree of surrounding rock blasting, ensuring construction safety, reducing the number of overbreak and underbreak, and greatly improving construction efficiency.

This disclosure relates to a dynamic optimization method and apparatus for surrounding rock blasting schemes, belonging to the field of blasting effect detection and optimization technology. The method includes: acquiring original surrounding rock image data of a target surrounding rock area; performing object detection on the original surrounding rock image data based on a preset target object detection model to obtain eyehole traces and eyehole detection frames of the eyehole traces in the target surrounding rock area; determining the first trace quantity, eyehole trace morphological characteristics, and spatial distribution characteristics of the eyehole traces based on the eyehole detection frames, and determining the area to be optimized based on the first trace quantity, eyehole trace morphological characteristics, and spatial distribution characteristics; optimizing the current blasting scheme corresponding to the target surrounding rock area based on the area to be optimized to obtain a target blasting scheme, and performing a second blast based on the target blasting scheme. This disclosure improves the accuracy of the target blasting scheme.

The invention relates to a blasting scheme determination method considering a geological structure and a blasting effect, which comprises the following steps: acquiring hole net parameters for blasting a to-be-blasted area, a charging structure and a charging amount of a blast hole, and determining a three-dimensional coordinate of the blast hole according to the hole net parameters; determining a target blast hole with a geological structure and a first geological structure of the target blast hole based on the drilling parameters; an image of the target blast hole is collected, a second geological structure of the image is recognized, and a three-dimensional geological structure model is established based on the first geological structure, the second geological structure and geological information of the to-be-blasted area; optimizing a charging structure and a charging amount based on the three-dimensional geologic structure model; obtaining blasting characteristics of the to-be-blasted area after blasting; and training the prediction model based on the optimization scheme, the hole net parameters, the blasting characteristics and the three-dimensional geological structure model to obtain an optimal blasting scheme prediction model. According to the method, the geological structure can be accurately recognized, the blasting effect is accurately evaluated, the optimal blasting scheme is output, and the safety of deep hole blasting of the open slope is improved.