300 results about "Drilling and blasting" patented technology

The invention belongs to the technical field of tunnel and underground engineering intelligent construction and geotechnical engineering informatization, and discloses a high-energy geological environment surrounding rock classification and decision-making method based on digital twinning and multi-source feedback. The problems caused by difficulty in realizing surrounding rock state dynamic sensing, multi-source data fusion classification and construction decision closed-loop linkage in the prior art in a high-energy geological environment are solved. The method comprises the following steps: firstly, constructing a tunnel three-dimensional geology-structure digital twinborn body based on initial survey data; in the construction process, multi-source data such as geology, construction disturbance and surrounding rock response are collected in real time through the Internet of Things technology and mapped to the digital twinborn body, and virtual-real synchronous updating is achieved. And then, constructing a deep learning-parameter inversion hybrid model on the basis of the multi-source fusion data, outputting a dynamic surrounding rock classification index DRCI and key mechanical parameters, inputting the DRCI and the key mechanical parameters into a multi-objective optimization module, and giving a self-adaptive drilling and blasting scheme. And finally, reversely correcting the model through a construction feedback result to realize closed-loop self-learning.

The invention discloses a spherical crown dome horizontal circumference drilling and blasting parameter model optimization construction method, and the method comprises the steps: collecting geological, crustal stress, hydrological and structural plane data, building a three-dimensional geological information model, carrying out the working condition partitioning based on a surrounding rock quality evaluation index, and constructing a parameter probability distribution model and an uncertainty boundary of each partition. Therefore, precise space description and parameter variability quantification of the spherical crown dome construction area are realized. The method comprises the following steps: establishing a three-dimensional numerical model of a cavern group, integrating blasting power, seepage and stress multi-physical field effects by adopting a finite element-discrete element coupling method, introducing a surrounding rock deterioration constitutive model considering cumulative damage and unloading aging, calibrating key parameters through an indoor test and field trial explosion, and establishing a three-dimensional model of the cavern group. And the numerical model can truly reflect the mechanical property degradation track of the surrounding rock under repeated blasting disturbance.

The invention provides a tunnel drilling and blasting slag removal vehicle autonomous path planning method and device based on a Naligation 2 behavior tree scheduling framework, and the method comprises the following steps: S1, carrying out the data collection and map construction of a tunnel scene after drilling and blasting; s2, identifying a blasting residue area and generating a target point; s3, constructing a behavior tree scheduling structure and planning a path; and S4, performing path search, execution and feedback evaluation based on a path planning algorithm. According to the method, multi-source sensor mapping and deep learning semantic segmentation technologies are combined, high-precision recognition and traffic area extraction of residual obstacles in an unstructured tunnel environment after drilling and blasting are performed are performed, complex scenes faced by slag removal path planning are fully considered, a behavior tree scheduling mechanism is adopted to fuse path planning, target scheduling and an anomaly recovery strategy, and the path planning efficiency is improved. And a path execution system of real-time response and fault-tolerant capability is further constructed, and the operation continuity and robustness of the robot in a complex operation environment are improved.

The invention provides a tunnel contour line forming device based on hydraulic cutting, which comprises a hanging frame and an inserting rod device on the hanging frame, one end of the inserting rod device is inserted into a slag discharging hole, a swing arm frame capable of swinging is arranged at one end of the hanging frame, a water jet cutting assembly capable of moving along the length direction of the swing arm frame is arranged on the swing arm frame, and the water jet cutting assembly is provided with a water jet nozzle. The problems that in the drilling and blasting method construction, instability and collapse of a tunnel face and over-excavation and under-excavation are likely to be induced are solved, automatic operation can be achieved after the mobile carrier is used for assisting in parking in the installation process, the beneficial effects of being convenient to assemble and disassemble and flexible in operation are achieved, and multi-machine-position cluster operation can be achieved.

The medium-length hole mining method under the complex geological condition comprises the following steps that S1, a stope is divided, specifically, the stope is divided into two stages along the inclination direction of an ore body, and bottom columns are not reserved; s2) roadway construction; s3) stoping: taking the cutting raise and the transverse cutting roadway as double free surfaces, and constructing medium-length hole blasting in a retreating manner from the middle to the two ends; s4) drilling and blasting; s5) transporting the ores; and S6) ventilation and dust prevention. The method is suitable for mining inclined ore bodies with thick ore bodies, unstable IV-level surrounding rock stability, extremely unstable V-level local parts and inclination angles of 30-50 degrees. By means of the non-sill-pillar structure and the 25-m stage interval and the through ore removal access road of the outside-vein transportation roadway, 15%-20% of sill pillar resource loss in a traditional method can be eliminated, the ore recovery rate is greatly improved, dead ore resources in a mining area are activated, and the service life of a mine is prolonged.

The application provides a tunnel blasting scheme intelligent design method, and relates to the technical field of tunnel engineering. The application obtains blasting design parameters based on a tunnel engineering geological exploration report and a forepoling geological prediction; obtains a drill-and-blast method tunnel blasting scheme 01 based on the blasting design parameters (4) by using a tunnel engineering blasting theory and a computer deep learning technology; establishes an existing drill-and-blast method tunnel blasting scheme sample library of built or under-construction tunnels based on the blasting design parameters (10) by using the computer deep learning technology, and obtains a to-be-built drill-and-blast method tunnel blasting scheme 02 by inputting the blasting design parameters and tunnel engineering requirements; and obtains a final drill-and-blast method tunnel blasting scheme according to the economic, efficient, safe and simple principle by using an artificial selection method based on the obtained drill-and-blast method tunnel blasting scheme group. The method avoids the influence of subjective factors, combines a traditional experience design method, big data processing and artificial intelligence technology, and provides an efficient scheme for design and construction personnel.

The invention discloses a tunnel precise drilling and blasting design method integrating multi-source intelligence and closed-loop optimization. The method comprises the steps that geological parameters are collected through geological detection equipment; based on fracture mechanics and rock mass damage theories, constructing a quantitative relation model reflecting joint network distribution, stress wave propagation characteristics and a rock mass crushing effect coupling mechanism; inputting the geological parameters into a pre-constructed multi-dimensional knowledge base, integrating historical engineering data association rules by the multi-dimensional knowledge base by using a graph database, and extracting geological features; based on a deep learning model, analyzing the mapping relation between the geological features and the blasting parameters, and generating a preliminary blasting scheme including the blast hole distance, the charging structure and the detonating mode; according to the method, a closed-loop optimization system of geologic features-blasting parameters-effect evaluation is constructed, so that dynamic intelligent decision-making and construction self-adaptive regulation and control of tunnel drilling and blasting design are realized, and the contour forming precision and the blasting efficiency are remarkably improved.

The invention provides a downward parallel medium-length hole sublevel filling mining method for a low-grade broken ore body, belongs to the technical field of mining, and solves the problems that a traditional mining method is low in mining efficiency and high in cost under complex geological conditions. Downward parallel medium-length holes are adopted in each section for drilling and blasting, efficient stoping is achieved in cooperation with remote control ore removal and supporting equipment, an interbed filling technology is adopted in a goaf to be combined with a reinforcing mesh structure to form an artificial roof, stress and displacement changes of a filling body are monitored in real time through a ground pressure monitoring system, and the stoping sequence and supporting parameters are optimized. According to the method, the efficiency and safety problems of a traditional mining method in low-grade and broken ore deposit and three-under resource mining are solved, large-scale, low-cost, safe and efficient mining is achieved, and the method is suitable for ore body mining under complex geological conditions.

The invention discloses a multifunctional all-in-one unit for drilling and blasting method construction and a construction technology, and relates to the technical field of tunnel construction, the multifunctional all-in-one unit comprises a rack assembly, a left drilling arch arm frame, a left drilling arm frame, a vertical arch arm frame, a right drilling arm frame, a right drilling arch arm frame, a guniting arm frame, a pumping system, a hydraulic system and an electrical system; a vertical arch module of the left drilling arch arm frame, a vertical arch module of the vertical arch arm frame and a vertical arch of the right drilling arch arm frame snatch a left arch frame, a middle arch frame and a right arch frame to carry out arch erecting and mesh welding operation; a charging hanging basket is arranged at the front end of the rack assembly; the rock drilling modules of the left drilling arch arm frame and the right drilling arch arm frame work independently or cooperatively in cooperation with the left drilling arm frame and the right drilling arm frame and are used for drilling anchor rod holes and blast holes. According to the invention, multiple functions such as drilling of blast holes, charging of a hanging basket, blasting, erecting of meshes, anchor rod operation, guniting and the like can be integrated, parallel working procedures or seamless connection of the working procedures can be realized, and the construction progress can be greatly improved.

The invention provides a tunnel mechanical fault shutdown influence prediction method and system based on a CART decision tree, and belongs to the technical field of tunnel engineering. The method comprises the steps that equipment operation data and construction environment parameters in drilling and blasting method tunnel construction are collected, and a multi-dimensional feature set is constructed; performing preprocessing and feature screening on the data in the multi-dimensional feature set, and establishing a fault-shutdown associated feature matrix; based on a CART decision tree algorithm, constructing a fault shutdown influence prediction model by using the fault-shutdown association feature matrix; inputting equipment state data collected in real time and construction parameters into the prediction model, and dynamically outputting a prediction result through decision tree rule matching; and adaptively adjusting and optimizing the parameters of the prediction model according to the dynamic change of the construction stage. According to the method, multi-dimensional, high-precision and interpretable prediction on the mechanical fault shutdown influence can be realized, and intelligent support is provided for construction decision making.

The invention provides a drilling and blasting method tunnel section contour and blast hole position automatic design method, and relates to the technical field of tunnel engineering, and the method comprises the following steps: S1, determining the type of a tunnel section contour; s2, performing parameterized representation and automatically drawing a contour line based on the tunnel section contour type; s3, based on the drawn tunnel section contour, conducting parameterized arrangement of cut holes, peripheral holes, bottom plate holes and auxiliary holes, and generating coordinates of various blast holes; automatically designing blast hole positions through different types of tunnel section contours; and the arrangement of the blast holes is converted into the generation of coordinate points, so that the requirements of intelligent mechanical equipment for tunnel excavation in the drilling and blasting method on the coordinates of the blast holes are met, and finally, the intelligent and refined blast hole arrangement of a tunnel excavation site in the drilling and blasting method is realized. The problems that in the contour drawing and blast hole arrangement link, manual lofting is often low in efficiency and large in error are solved, and it is avoided that the excavation section deviates from the design, the over-excavation or under-excavation phenomenon occurs, and the construction quality is affected.

The invention relates to TBM water conveyance tunnel lining steel pipe installation and transportation equipment and a transportation and installation method, the TBM water conveyance tunnel lining steel pipe installation and transportation equipment comprises a rail transportation system, a transfer system, a wheel type transportation system, an installation butt joint device and temporary supporting profile steel, the rail transportation system is arranged on a drilling and blasting tunnel section, and the transfer system is arranged at the junction of the drilling and blasting tunnel section and a segment tunnel section; the wheel type transportation system is arranged on a pipeline, and the installation butt joint device is arranged at the end of a lined section. The rail transportation system and the transfer system share the same group of rails at the intersection; the installation and construction of the lining steel pipe of the TBM water delivery tunnel with the engineering quantity smaller than 1 kilometer can be facilitated, the construction efficiency is improved, and the cost is reduced.

The invention relates to the technical field of tunnel construction automation, and discloses a drilling and blasting method tunnel machine group cooperation large machine intelligent scheduling system comprising the following steps: an Internet of Things sensing unit used for obtaining an equipment individual state; the macroscopic scene visual perception subsystem is used for identifying a macroscopic scene event; the state data management module is used for calculating a dynamic influence factor which can be attenuated along with time and can be adjusted for the state and the event; the decision potential field construction module is used for generating a space decision potential field model containing attraction potential and repulsion potential according to the dynamic influence factors; and the scheduling instruction generation module is used for planning a path based on the potential field model and generating an instruction. According to the method, the unified decision potential field adjusted by the dynamic influence factors is constructed, the scheduling problem is converted into the path planning problem, and unified and efficient scheduling of conventional processes and emergencies is achieved.

The invention provides a rock strength real-time identification system and method based on PDC drill bit drilling parameters. The system comprises a mining full-hydraulic underground drill rig, a hydraulic system, a data acquisition system and an upper computer, power and control are provided through the hydraulic system, the data acquisition system acquires parameters such as the rotating speed of a drill bit and propelling oil pressure in real time, and the upper computer receives, calculates and outputs rock strength. The method comprises the steps that drilling parameters are obtained in real time, and key parameters are calculated after filtering and conversion; a PDC tooth cutting rock mechanical model is established, analysis is carried out in the press-in stage and the rotary cutting stage, and real-time parameters are substituted to calculate the compressive strength, cohesion and internal friction angle of the rock; and integrating the results of the two stages, outputting the rock strength in real time, and identifying the anisotropism of the rock stratum interface and the rock mass. The problem of rock strength identification in a drilling and blasting method is solved, the roadway drilling and blasting process can be optimized, the over-excavation phenomenon is reduced, and the stability of the roadway structure is guaranteed.

The invention discloses a tunnel hole slag image intelligent identification method and system based on multi-task deep learning, and relates to the technical field of crossing of hydraulic engineering and artificial intelligence, and the method comprises the steps: obtaining a hole slag image and shared data, constructing an original data set, preprocessing the original data set by using a dynamic adaptive data enhancement strategy and a focus loss function to obtain an enhanced data set; constructing a multi-level classification deep learning model of a multi-branch output structure, respectively outputting probability distribution results of different classifications, and setting a loss function and a loss weight of the multi-level classification deep learning model; and performing optimization training on the multi-stage deep learning model, inputting an enhanced data set generated in real time into the multi-stage classification deep learning model after optimization training, and outputting drilling and blasting parameter recommendation based on a lithology identification result. According to the method, the hierarchical classification model with multi-branch output is constructed, and construction method identification and specific lithology classification can be realized at the same time.

The invention belongs to the technical field of tunnel engineering digital construction, and particularly relates to an unsupervised learning drilling and blasting method tunnel point cloud feature extraction and back break detection method. The method comprises the following steps: firstly, acquiring initial point cloud data of tunnel excavation by adopting three-dimensional laser scanning, and preprocessing by adopting point cloud thinning and registration; then, a convex hull algorithm is used for calculating an actual excavation axis, excavation sections with the thickness of 0.1 m are cut out according to the fixed interval of 10 m, a K-means clustering algorithm is used for conducting noise reduction processing on point cloud slices, and convex hull vertexes are screened to accurately extract actual excavation contour lines; and finally, the back break amount of each convex hull is calculated, and real-time quantitative analysis of the back break condition of the tunnel is achieved. According to the method, by fusing three-dimensional laser scanning, unsupervised learning and a convex hull algorithm, crossing of tunnel back break detection from discrete, lagging and manual detection to continuous, real-time and intelligent detection is achieved, and efficient, accurate and reliable digital technical support is provided for drilling and blasting method tunnel construction.

The invention relates to the technical field of tunnel and underground engineering safety construction, in particular to a deeply-buried hard rock tunnel micro-seismic monitoring and segmented advanced blasting collaborative pressure relief method which comprises the steps that a pre-constructed micro-seismic monitoring system is arranged along the tunnel wall so as to collect and analyze seismic source parameters of a micro-seismic event; whether a preset early warning threshold value is exceeded is judged according to the judgment result; if yes, segmented advanced blasting pressure relief design is carried out based on the seismic source parameters of the micro-seismic event, so that blasting parameters are obtained; according to the blasting parameters, drilling wall protection and charging blasting are conducted on the tunnel hole wall, so that the blasted tunnel hole wall is obtained; the current surrounding rock response of the tunnel wall after blasting is observed, whether the current surrounding rock response exceeds a preset early warning threshold value or not is judged, if yes, it is judged that pressure relief is effective and tunneling is normal, and if not, blasting parameters are adjusted or pressure relief is supplemented in the next cycle. Therefore, the problems of passive rock burst risk early warning, poor pressure relief effect, extensive parameter control and the like under the high ground stress condition in drilling and blasting method construction of the deeply-buried hard rock tunnel are solved.

This invention provides a cast-in-place porous concrete anti-fault buffer layer structure for drill-and-blast tunnels, comprising a buffer layer disposed between the initial support and the secondary lining. The buffer layer includes several plastic pipes, each distributed sequentially along the tunnel excavation direction and fixed to the initial support. At least a portion of the plastic pipes are filled with porous concrete. This invention also provides a construction method for the cast-in-place porous concrete anti-fault buffer layer structure for drill-and-blast tunnels. This invention allows for rapid and convenient construction without significantly increasing costs or construction time due to the buffer layer construction. Furthermore, the porosity of the buffer layer can be adjusted as needed by varying the pipe diameter and arrangement, thereby achieving effective anti-fault buffering performance.

The drill boom mechanism comprises a first shell, a first linear driving piece, a first rotary driving piece, a main drill rod and a monitoring piece, a first through hole is formed in the front end of the first shell, and a first sliding seat is arranged in the first shell in a sliding mode in the front-back direction; the first rotary driving part is installed on the first sliding seat, the first linear driving part is installed on the first shell and is in transmission connection with the first sliding seat, the main drill rod penetrates through the first penetrating hole, the tail end of the main drill rod is connected with the driving end of the first rotary driving part, and the monitoring part is arranged at the front end of the first shell. The first linear driving part drives the first sliding seat to drive the first rotary driving part and the main drill rod to move in the front-back direction, the first rotary driving part is used for driving the main drill rod to rotate, and the monitoring part is used for monitoring the run-out amount of the main drill rod in the radial direction when the main drill rod rotates. Therefore, the runout value of the main drill rod in the radial direction can be monitored in real time through the monitoring piece so as to judge whether the main drill rod has the risk of fracture or not.

The invention relates to the technical field of rock-soil drilling and blasting engineering, and discloses an ultrahigh-pressure aerodynamic pulse fracturing-while-drilling device and method.The ultrahigh-pressure aerodynamic pulse fracturing-while-drilling device comprises an aerodynamic pulse generating device used for guiding gas to a high-low pressure gas channel switching inner core; the high-low pressure gas channel switching inner core is located at one end of the aerodynamic pulse generating device, an internal rotation pneumatic rotating impeller is arranged at the end, away from the aerodynamic pulse generating device, of the high-low pressure gas channel switching inner core and used for driving the down-the-hole pneumatic impact hammer device to operate, and the down-the-hole pneumatic impact hammer device is used for impacting and extruding rocks; the conversion joint is used for realizing connection between the internal rotation pneumatic rotating impeller and the down-the-hole pneumatic impact hammer device; the pneumatic pulse pressure relief adjusting sliding sleeve is used for switching gas flow channels with different pressures. The invention provides a coaxially integrated drilling and blasting integrated composite device which is compact in structure, reliable in action and acceptable in cost, so that the tunneling circulation time is shortened, and the operation risk is reduced.

The invention provides a drilling and blasting method tunnel construction quality evaluation method and system, and relates to the technical field of tunnel construction quality evaluation. According to the method, drilling, charging, blasting vibration and tunnel contour data are collected in real time and transmitted to a server. The server maintains a dynamically updated tunnel contour reference, calculates a contour quality vector through spatial transformation, and integrates construction parameters and geological data to construct a construction state vector. Based on a construction response field constructed by historical data, the system deduces an expected vibration speed and contour quality as a prediction reference. And through difference analysis of actual data and a predicted value, the system generates a current state conflict vector, and inquires a decision mapping table to output a construction parameter adjustment instruction. And the equipment control system executes parameter cooperative adjustment and feeds back new data to the server to form closed-loop control of evaluation and optimization, so that real-time, accurate and adaptive control of the construction quality is realized.

A method for purifying smoke source in tunnel excavation process relates to the field of tunnel engineering air purification, comprising a device box, a negative pressure return air inlet, a pressure fan, a static pressure box, a smoke treatment device, a harmful gas purification device and a high-pressure air curtain system are fixed in the device box, the high-pressure clean air jet formed by the air outlet is sprayed to the drilling and blasting operation face, the high-concentration smoke-carrying air area is targeted, quickly diluted and strongly disturbed, the smoke-carrying air is passively returned to the negative pressure return air inlet grid area on both sides of the device box, the smoke particles are intercepted and purified by the smoke treatment device, the harmful gas is purified by the harmful gas treatment device, and the purified air is pressurized and sprayed by the pressure fan to complete the circulation of the smoke-carrying air on the face; the airflow organization formed by the method has good disturbance effect on the air retention on the face, has good smoke and dust removal effect in a large space or range, and is also suitable for relatively closed space.

The invention relates to a construction method for a long inclined shaft of a pumped storage power station. The method is suitable for the technical field of pumped storage power station construction. According to the technical scheme, the construction method for the long inclined shaft of the pumped storage power station comprises the steps that a small-diameter TBM is adopted to conduct excavation from bottom to top along the axis of the long inclined shaft to be excavated, and a pilot tunnel arranged along the axis of the long inclined shaft is formed; and after excavation of the pilot tunnel is completed, the inclined shaft reaming TBM is adopted for excavation from top to bottom along the axis of the long inclined shaft to be excavated, and the long inclined shaft is formed. In order to solve the problems that the water diversion inclined shaft of the pumped storage power station is long in construction length, large in gradient, small in construction working face, long in construction period, various in working procedure, changeable and complex in geological condition and the like, the method that a pilot tunnel is excavated through a small-diameter TBM firstly, and then one-time forming is achieved through inclined shaft reaming TBM expanding excavation is adopted; the method solves the potential safety hazard that the geological condition in front cannot be detected in manual drilling and blasting in the inclined shaft construction process and in the inclined shaft TBM construction process, the hole forming quality is improved, disturbance to surrounding rock is reduced, and the construction safety of personnel is guaranteed.

This invention relates to the field of tunnel drilling and blasting technology, and particularly discloses a method, medium, and equipment for tunnel anchor drilling based on three-dimensional point clouds. The tunnel anchor drilling method includes: scanning the surface of the initial shotcrete in the tunnel working section using lidar to obtain a three-dimensional point cloud model of the initial shotcrete surface; extracting the two-dimensional point cloud contour of the circumferential anchor cross-section based on the three-dimensional point cloud model of the initial shotcrete surface to obtain a two-dimensional physical contour model of the initial shotcrete surface; constructing the parametric equation of the anchor axis according to the designed anchor parameters, and solving it simultaneously with the two-dimensional physical contour model of the initial shotcrete surface to obtain the axis distance parameter and the actual drilling coordinates; and using a drilling-anchor-injection integrated trolley to perform drilling operations at a designed angle based on the axis distance parameter and the actual drilling coordinates. This invention directly solves for the actual drilling coordinates of the anchor based on the point cloud cross-section, overcoming the interference of unevenness of the initial shotcrete surface on anchor positioning and improving the accuracy of anchor placement.

1. The name of the design product: the gantry of the drilling and blasting integrated machine set. 2. The use of the design product: as the installation carrier of the working arm and electro-hydraulic system of the drilling and blasting integrated machine set. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. Other circumstances that need to be explained: the bottom view is not common in use, so the bottom view is omitted.

The present application belongs to the technical field of tunnel engineering digitized construction, and particularly relates to a method for extracting point cloud features and detecting overbreak and underbreak of a tunnel by drilling and blasting method without supervised learning. Firstly, three-dimensional laser scanning is used to obtain initial point cloud data of tunnel excavation, and point cloud thinning and registration are used for pretreatment. Then, a convex hull algorithm is used to calculate the actual excavation axis, and an excavation section with a thickness of 0.1m is intercepted at a fixed interval of 10m. The K-means clustering algorithm is used for noise reduction processing of the point cloud slices, and the convex hull vertices are screened to accurately extract the actual excavation contour line. Finally, the overbreak and underbreak of each convex hull is calculated to realize real-time quantitative analysis of the overbreak and underbreak of the tunnel. By fusing three-dimensional laser scanning, unsupervised learning and the convex hull algorithm, the present application realizes the leap of overbreak and underbreak detection of a tunnel from "discrete, lagging and manual" to "continuous, real-time and intelligent", and provides efficient, accurate and reliable digital technical support for the drilling and blasting method tunnel construction.

This invention relates to the field of tunnel engineering, specifically to a tunnel construction method, comprising the following steps: simultaneously excavating at both ends of the tunnel using both TBM (Tunnel Boring Machine) and drill-and-blast methods to form a TBM tunnel section and a drill-and-blast tunnel section; excavating the TBM tunnel section and the drill-and-blast tunnel section to both ends of the through tunnel section; firstly constructing a dismantling chamber using the drill-and-blast method, and then constructing a TBM through section to the dismantling chamber using the TBM method; dismantling the TBM tunneling machine in the dismantling chamber and transporting it out of the tunnel, thus completing the tunnel construction. This invention, through this simultaneous construction method at both ends, can effectively improve the overall excavation efficiency of extra-long tunnels, thereby significantly shortening the construction period of extra-long tunnels.

The application relates to the technical field of tunnel drilling and blasting construction, in particular to a drilling and blasting method tunnel construction scheme simulation method and system based on digital twinning, which comprises the following steps: collecting geological and rock mass data, historical blasting data, site equipment data, site personnel data, real-time environment and working condition data; constructing a digital twinning model of a tunnel to be blasted, and updating the digital twinning model; designing an original drilling and blasting plan based on historical experience and mechanism analysis, and obtaining an optimal drilling and blasting construction scheme by using the digital twinning model and a hierarchical collaborative strategy; performing a field drilling and blasting experiment by using the optimal drilling and blasting construction scheme, and obtaining real blasting data to optimize the digital twinning model. The application realizes auditing and screening of a blasting construction scheme by constructing a high-fidelity tunnel digital twinning model and using a hierarchical collaborative strategy, and unifies efficiency and precision while obtaining the optimal drilling and blasting construction scheme.

The application discloses a mine shaft group drilling and blasting construction state monitoring method based on multi-source sensor fusion, and the method is as follows: sensors are arranged on a mine shaft group drilling and blasting construction site; a data acquisition and transmission module collects data of each sensor in real time and transmits the data to a data processing center; the data processing center removes outliers from original data and extracts feature information related to the drilling and blasting construction state; the feature information is subjected to data fusion processing, a comprehensive monitoring index is formed by using a weighted average method; the monitoring index is used to evaluate the construction state and to monitor the shaft drilling and blasting construction state in real time; the real-time monitoring result is fed back to a construction management system, used for adjusting and optimizing a construction plan, and the monitoring result is transmitted to construction personnel in the form of a chart so that the construction personnel can know the construction state at any time. The application improves the accuracy and reliability of the construction state evaluation.

The application provides a dam calcareous cemented sand gravel deep foundation pit excavation method, through repeated forms, the calcareous cemented sand gravel is drilled and grouted in batches, the cracks in the drilling depth range are filled and combined into a whole, after repeated drilling to the design elevation, the explosives are filled and loose blasting is carried out, and then excavation is carried out. The method solves the problems of great difficulty in excavation and removal, and the problems of blasting pressure relief in the form of drilling and blasting in the process of excavation of the calcareous cemented sand gravel deep foundation pit, improves the construction efficiency, and saves the cost.