11027 results about "Mining engineering" patented technology

The present invention relates to a coal mine intelligent directional drill and its drilling method, belonging to the technical field of coal mine drills. It comprises a moving platform, machine frame, clamper, main manipulator, power head, drill pipe storage system, control system, and hydraulic system. The power head structure is improved by adding an angle adjuster with accurate angle adjustment, locking, and anti-rotation functions. The angle adjuster is positioned on the gearbox side opposite the main motor, connected via a driving shaft. The control system includes a toolface azimuth detection and initialization system that works with the angle adjuster. This solves prior issues such as the absence of specialized toolface azimuth adjustment devices, low precision, low track adjustment efficiency, and challenges in achieving automatic directional drilling in the prior art. The invention enhances precision and efficiency, enabling automated, intelligent directional drilling.

The invention discloses a coal fire area fracture active enhancement detection test system and method, and belongs to the technical field of mine safety and geophysical exploration, and the system comprises a fracture generation module which is used for simulating a heat-force-gas coupling condition of an underground coal fire area, and inducing a coal rock mass test piece to generate a fracture; the fracture detection module is used for synchronously acquiring multi-physics field data of the coal and rock mass test piece in real time; the fracture intervention module is used for injecting a natural medium simulant and an enhanced medium foam gel material into the fracture so as to simulate a real environment and enhance a detection signal; and the intelligent feedback and data fusion module is used for controlling operation parameters of each module, synchronously acquiring detection data, and performing fusion processing, intelligent inversion and four-dimensional visualization on the detection data to realize whole-process monitoring detection of fracture evolution. The invention provides a scientific method for precise delineation and targeted plugging treatment of hidden fractures in a coal fire area, and solves the problems of multiplicity of solution in traditional fracture detection and easy reburning in coal fire treatment.

The invention discloses a coal mine rock burst risk assessment system which comprises a data acquisition module, an energy accumulation rate calculation module, a roadway network modeling module, a risk assessment module and an early warning regulation and control module. The method comprises the following steps of: firstly, calculating an energy accumulation rate of a roadway, then constructing a roadway network diagram, identifying a high stress conduction path, calculating a dynamic risk index and delimiting a risk area by integrating factors such as a historical impact event and an energy index, and automatically triggering corresponding early warning and regulation measures by a system according to a risk level so as to realize accurate early warning and dynamic regulation. And mine operation decision making and accident prevention are assisted.

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 provides an intelligent safety and stability assessment method, system and device for an underground cavern and a medium, and the method comprises the following steps: S1, building a three-dimensional geological model of the underground cavern according to initial geological exploration data; s2, multiple monitoring instruments are pre-buried in key parts of the underground cavern, and monitoring data are collected in real time; s3, constructing an underground cavern safety and stability evaluation model based on a deep learning algorithm; s4, inputting real-time monitoring data into an evaluation model, combining historical monitoring data and geological model information, analyzing and comparing with a three-dimensional numerical calculation result, adjusting geological parameters, performing reconstruction evaluation, and outputting a safety and stability level; and S5, according to an evaluation result, automatically generating early warning information and processing suggestions. According to the method, the problems of poor real-time performance and low data utilization rate of traditional evaluation under complex geological conditions are solved, and the intelligent level of construction safety monitoring of underground cavern groups such as hydropower stations and pumped storage projects can be effectively improved.

The invention provides a method for detecting the porosity of ores in a dump leaching process, and belongs to the technical field of detection of the porosity of the ores. The method comprises the following steps: taking a dump leaching ore body, screening, uniformly mixing, splitting, putting into a dump leaching column to obtain the volume of a sample subjected to splitting in the dump leaching column, then performing fine grinding, putting into the dump leaching column to obtain the volume of the sample subjected to fine grinding in the dump leaching column, and then performing image analysis on the sample subjected to fine grinding to obtain the pore volume among sample particles subjected to fine grinding. And finally, converting the three volumes to obtain the porosity of the heap-leached ore. Through screening treatment, the sample representativeness is effectively improved; the ore before superfine grinding and after superfine grinding is introduced into a dump leaching column, the sampling uniformity is controlled, and the accuracy and stability of data are improved through the in-pile process under the same test column; an image analysis algorithm is introduced, and meanwhile, a correction coefficient is introduced, so that small pores among particles are precisely measured and calculated. The method is simple in process and convenient to operate, and the ore porosity can be rapidly and accurately measured and calculated.

The invention provides a coal impact tendency evaluation method which comprises the following steps: sampling a coal rock material on an engineering site, and processing the sample into a coal rock test piece with a preset size and a preset shape; carrying out a uniaxial compression experiment on the coal rock test piece, and recording a motion image of an ejection body on the coal rock test piece in the loading process of the coal rock test piece; comparing cosine similarities among the plurality of images in the moving images, and determining the image with the maximum damage degree according to the cosine similarities; analyzing gray level distribution of the image with the maximum damage degree to obtain a gray level histogram; identifying particle information of the broken particles in the image with the maximum damage degree; representing the damage degree of the coal rock material by using the particle information of the crushed particles; and evaluating the coal impact tendency by using the damage degree of the coal rock material. According to the evaluation method for the coal impact tendency disclosed by the invention, a new coal impact tendency evaluation index is provided, the research on the damage process of the coal rock material is perfected, and basic parameters are provided for subsequent early warning of damage of the coal rock material.

A method for predicting in-situ leaching effects of sandstone-type uranium mining deposits after blasting is provided, which comprises: based on a finite element analysis platform, establishing an HJC rock-blasting constitutive model, and carrying out a blasting numerical simulation; calibrating a cloud map of blasting crack damage by using a Kriging interpolation algorithm; establishing a COMSOL multiphysics model; establishing a coupling interface between the COMSOL multiphysics model and PHREEQC based on MATLAB, and optimizing a cycle duration and a time step; performing a geochemical reaction calculation and saving results, running COMSOL files, and inputting the results of geochemical reaction calculation into PHREEQC to obtain a dynamic cyclic iterative simulation; dynamically correcting migration coefficients of uranyl complexes by integrating an LSTM neural network, and stopping the cycle to output multi-scale dynamic simulation results of migration of uranium.

The invention provides a coal mine goaf early warning method and system, equipment and a medium, and belongs to the technical field of coal mine monitoring. The method comprises the steps that multi-field monitoring data of a target goaf at the current moment are acquired; constructing a multi-field coupling relationship based on the multi-field monitoring data, each coupling relationship being a coupling relationship formed by every two fields of monitoring data and used for representing a mutual influence relationship between the two fields of monitoring data; performing prediction based on the multi-field monitoring data and the multi-field coupling relationship to obtain target multi-field monitoring data and a target early warning state; the target multi-field monitoring data and the target early warning state are the multi-field monitoring data and the early warning state corresponding to the future target moment. According to the coal mine goaf early warning method, system and equipment and the medium provided by the invention, accurate prediction of future multi-field data of the goaf and accurate early warning of the future state of the goaf can be realized.

The invention relates to the technical field of underground coal mine safety, and discloses an underground coal mine early warning system and method. The method comprises the following steps: collecting multidimensional monitoring data of an underground coal mine environment; performing dynamic window division on the multi-dimensional monitoring data to generate a data fragment set; performing abnormal mode recognition based on the data fragment set, and extracting abnormal feature points exceeding a dynamic threshold in each data fragment; inputting the abnormal feature points into a pre-constructed space-time correlation model, and analyzing diffusion paths of the abnormal feature points in a time dimension and a space dimension; according to the diffusion path, generating an abnormal propagation map containing the propagation direction and the intensity attenuation gradient of the abnormal feature points; hierarchical clustering is carried out on the abnormal propagation atlas, and abnormal clusters with similar propagation characteristics are divided; generating an early warning signal containing a priority label by using the spatial and temporal distribution characteristics of the abnormal cluster; performing synchronous verification on the early warning signal and underground equipment state data, and screening out a target early warning signal needing to be responded; and triggering a corresponding emergency control instruction according to the target early warning signal.

The invention provides a coal mine cable aging degree analysis and evaluation method and system, a medium and a product, and relates to the technical field of coal mine electrical equipment state monitoring and safety early warning, and the method comprises the steps: collecting cable aging data in real time through a distributed monitoring terminal arranged in an underground coal mine; inputting the aging data characteristics corresponding to the cable aging data into a dynamic weighted fusion evaluation model, and calculating to obtain a comprehensive aging index of the current cable; when the comprehensive aging index exceeds a preset early warning threshold value, inputting a comprehensive aging index sequence and an environmental load feature sequence in a preset historical time window into a pre-trained long-short-term memory network model, and outputting an aging index change curve in a preset future time period; and calculating the residual life of the cable according to the curve, and triggering cable replacement early warning when the residual life is smaller than a preset threshold value. According to the method, the accuracy of cable aging state evaluation under complex working conditions can be improved, and the misjudgment rate caused by fluctuation of a single parameter is reduced.

The invention relates to the technical field of coal mining, in particular to a grouting reinforcement anti-seepage method for an underground coal mine, which comprises the following steps: cleaning and temporarily supporting a target area; scanning the surrounding rock by adopting intrinsic safety type detection equipment to obtain fracture parameters and generate a three-dimensional distribution diagram; designing a construction grouting hole and cleaning the hole; double-liquid grouting equipment is adopted, reinforced grout containing aggregate is injected firstly to fill large cracks, after the reinforced grout is initially set, impermeable grout such as acrylate is injected to block micro cracks, and grouting pressure and flow are monitored and controlled in real time; finally, strength and impermeability detection is carried out, and hole patching and grouting are carried out if the standard is not met; according to the method, through accurate detection, partition design, staged grouting and strict quality inspection, the problem that in a traditional method, the reinforcing effect and the seepage-proofing effect are difficult to cooperate is solved, integrated construction of high-strength reinforcing and efficient seepage-proofing of the surrounding rock is achieved, and the engineering quality and efficiency are improved.

The vertical feeding coal mining machine comprises a rack, a traction part and a cutting assembly, the traction part is connected with the rack so as to be used for dragging the rack to move, the cutting assembly comprises a roller body and cutting teeth, the roller body comprises a cylinder body, an end disc and an end cover, the end disc is arranged on the cylinder body, and the cutting teeth are arranged on the end disc. The end disc is arranged on the outer circumferential wall of the roller body in a sleeving mode, the end disc and the first end of the roller body are arranged in a flush mode, the end cover is connected with the inner circumferential wall of the roller body, a groove is defined between the end cover and the roller body, the multiple cutting teeth are arranged in the circumferential direction of the center line of the roller body at intervals, and the cutting teeth are arranged in the groove. One part of the plurality of cutting teeth is connected with the end disc, and the other part of the plurality of cutting teeth is connected with the end cover. According to the vertical feeding coal mining machine, the arrangement positions of the cutting picks are optimized, the possibility of abrasion of the cutting picks is reduced, and the cutting efficiency is improved.

The invention relates to the technical field of tunnel construction, and discloses a coal mine goaf karst tunnel construction method which comprises the following steps: S1, performing three-dimensional scanning on the axis and the periphery of a tunnel by adopting a high-frequency geological radar in combination with aerial survey of an unmanned aerial vehicle, and accurately positioning the boundary of a goaf, the development form of a karst cave and filler distribution; and S2, integrating a seismic wave reflection method, drilling and coring data and a geological sketch result, constructing a three-dimensional geological model, and dynamically predicting a potential water inrush and mud inrush risk area. According to the method, a high-frequency geological radar is combined with aerial survey of an unmanned aerial vehicle, three-dimensional scanning is conducted on the axis and the periphery of a tunnel, geological radar data, a point cloud model and tunnel design BIM are integrated, the boundary of a goaf (the error is smaller than or equal to 0.3 m) and the karst cave form are marked, and the collapse risk level is predicted based on rock mass mechanical parameters (compressive strength and fracture density) and hydrological data (seepage paths). Therefore, the method has the advantages of advanced detection, multi-source data fusion and the like, and the resolution of geological forecast is improved.

The invention discloses a monitoring and early warning method for coal rock fracture of an argillaceous weakly-cemented thick top coal roadway, and belongs to the field of top coal roadway coal rock fracture monitoring. The method comprises the following steps: constructing a prediction framework of long-term structural evolution, and judging a potential risk area of a long-term fracture trend; according to the potential risk area of the long-term fracture trend, integrating the feature data of multiple time scales, and obtaining a comprehensive feature vector of the change of the whole coal rock fracture process by applying a time sequence analysis method; dynamically adjusting parameters of an early warning model through an instant risk assessment result in combination with comprehensive data of medium-term stress change and long-term fracture trend, and determining risk grade division under multiple time scales; and according to risk grade division, generating graded early warning information, mapping the graded early warning information to a roadway spatial distribution model, and obtaining a risk visualization layer of a specific area.

The invention relates to the technical field of mining subsidence prediction, and discloses a complex working face mining subsidence prediction method and system.The complex working face mining subsidence prediction method comprises the steps that a geological feature coding network is constructed, and complex geological information is converted into digital feature vectors; constructing a subsidence parameter inversion model based on deep learning; the problem of insufficient new mining area data is solved by applying a transfer learning framework; analyzing and optimizing model performance through parameter sensitivity; efficient subsidence calculation is realized based on a non-uniform block model; according to the method, the limitation that a traditional subsidence prediction method depends on empirical parameters is broken through, the prediction precision under the complex geological condition is improved, the dependence on monitoring data is reduced, the calculation efficiency of a large-scale block model is improved, the multi-working-face superposition subsidence effect can be accurately simulated, and the method is suitable for being popularized and applied. Powerful support is provided for safe mining of mines and environmental protection.

The invention discloses a sand field coring method, which relates to the technical field of geological exploration, and comprises the following steps: S1, moving a drilling machine to a coring position and fixing, and adjusting the posture of the drilling machine according to the sand field terrain and coring requirements; s2, drilling tools are selected to be assembled according to the sand ground stratum characteristics, wherein the drilling tools comprise but are not limited to a hard rock trepanning drill bit, a drill rod and a sampling pipe; and S3, the hard rock trepanning drill bit is adopted to implement initial drilling, and a stable orifice is formed by controlling the drilling speed and pressure. According to the sand field coring method, the stable hole opening is formed through the hard rock trepanning drill bit, the drilling parameters are dynamically adjusted, complex stratum conditions are effectively dealt with, the coring success rate is remarkably increased, the integrity and representativeness of samples are ensured, the drilling efficiency and the equipment utilization rate are optimized through the technological method, and the sand field coring efficiency is improved. And the Kalman filtering algorithm is adopted to carry out fusion processing on multi-sensor data, and the output of the hydraulic system is adjusted in real time, so that the drilling efficiency is improved.

The invention provides a dump leaching method for improving the leaching rate of gold ore, and belongs to the technical field of mineral processing. The method comprises the following steps: firstly, separating minerals into oversize products and undersize products; mixing sodium carboxymethyl cellulose, bentonite and ferrous sulfate to obtain a mixture, and granulating the undersize product by using the mixture as a binder; and mixing the undersize product particles with the oversize product, and carrying out cyanide-free dump leaching. According to the method, through graded granulation and heap building, the problem that heap building permeability is poor due to the fact that the gold ore contains many clay minerals is solved. In the granulation stage, ferrous hydroxide colloid generated by hydrolysis of ferrous sulfate in the binder can assist ore particle agglomeration, and particle stability is enhanced; during subsequent cyanide-free dump leaching, ferrous sulfate can be used as an auxiliary reducing agent and a catalyst in a thiourea gold leaching system to promote oxidation and dissolution of gold; meanwhile, ferrous ions can adjust the oxidation-reduction potential of a system, so that the thiourea gold leaching reaction is in a more favorable potential interval, the oxidation efficiency of thiourea is improved, invalid decomposition of thiourea is reduced, and therefore the use amount of thiourea and the use amount of agents are reduced.

The invention discloses a combined well spacing method for a ground vertical well and an underground horizontal well, which comprises the following steps of: determining estimated fracturing information of the vertical well and estimated fracturing information of the horizontal well according to acquired fracturing construction information of a surrounding mine; the width of the to-be-mined working face and the lateral mining-induced fracture range of the mined working face are obtained, vertical well construction information is determined according to the width of the to-be-mined working face, the lateral mining-induced fracture range and vertical well estimated fracturing information, fracturing construction is conducted on the thick and hard roof based on the vertical well construction information, and the vertical well fracturing range of a ground vertical well is obtained; and horizontal well construction information is determined according to the horizontal well estimated fracturing information and the vertical well fracturing range, and fracturing construction is conducted on the impact main control rock stratum based on the horizontal well construction information. According to the combined well spacing method for the ground vertical well and the underground horizontal well, the well spacing scheme that the ground vertical well and the underground horizontal well are matched with each other is adopted, sufficient fracturing and pressure relief can be conducted on a thick and hard top plate, and cooperative prevention and control over rock burst and mine earthquake disasters are achieved.

The invention discloses an underground mine measurement and resource reserve estimation method and system. The method comprises the following steps: S1, acquiring point cloud data of a mine underground space in different periods and a panoramic image of a mine underground environment; s2, preprocessing the panoramic image and the point cloud data in the same period, establishing a mapping relation between the point cloud data and the panoramic image, and obtaining a colored point cloud data set and a lightweight three-dimensional model; s3, performing ore block sample feature extraction on the colored point cloud data set, and delineating the boundary of an ore body; s4, constructing an ore body block grid model according to the delineated ore body boundary; s5, repeating the steps S2-S4 to obtain ore body block grid models in different periods; s6, overlapping the ore body block grid models in different periods to obtain an ore body change three-dimensional model; and S7, according to the ore body change three-dimensional model, estimating the ore body increase and decrease change volume, namely the underground mine resource reserve change result. The method can accurately estimate the volume of the increase and decrease change of the ore body.

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 discloses an underground coal mine geological disaster early warning method and system and a medium, and relates to the technical field of disaster early warning. The method comprises the following steps: constructing a multi-parameter cooperative monitoring field by arranging multi-modal sensing equipment in an underground coal mine; deploying N geological disaster recognition nodes for the N monitoring fields; the collaborative operation node performs risk identification on the returned data and outputs a geological disaster pre-judgment result; and the early warning management and control middle station receives the spatial topology of the monitoring field, executes disaster evolution prediction on a pre-judgment result according to the spatial topology, and outputs real-time early warning. According to the method, the technical problems of difficulty in real-time cooperative processing of multi-source data and insufficient disaster evolution prediction capability in underground coal mine geological disaster early warning are solved, and the underground coal mine disaster risk is dynamically analyzed through cooperative monitoring of a multi-modal sensor and cooperative work of time sequence data analysis and geological disaster recognition nodes, so that the underground coal mine disaster early warning efficiency is improved. And the accuracy and the response speed of geological disaster early warning are improved.

The invention relates to the technical field of mine safety, in particular to a rock burst prediction method based on dynamic frequency domain decomposition, relative event coding and dynamic sparse attention. According to the method, data decomposition of Fourier transform, adaptive frequency domain noise reduction, relative event coding and a dynamic sparse attention mechanism are combined, key features in micro-seismic data can be effectively extracted, and the accuracy and robustness of rock burst prediction are improved. The method is excellent in performance in rock burst prediction, the problems of noise interference, error accumulation and the like can be effectively solved, and reliable technical support is provided for accurate early warning of rock burst.

The invention provides a coal seam sandstone roof water retention coal mining method with control while mining based on mining-induced fracture grouting. The coal seam sandstone roof water retention coal mining method comprises the steps that hydrogeological parameters of a target working face of a coal mine are obtained; according to the hydrogeological parameters, determining a roof fracture step pitch of the target working face, determining stratum distribution characteristics above the target working face, and determining simulated development characteristics of a flowing water fractured zone of the target working face; determining a grouting horizon according to the simulated development characteristics of the water-flowing fractured zone and the formation distribution characteristics; the target working face is subjected to stoping, and after the stoping distance reaches the roof fracture step pitch every time and the roof of the target working face is fractured, layered grouting is conducted on the grouting layer position corresponding to the target working face in the roof fracture step pitch till stoping of the target working face is completed completely. And after layered grouting of all the grouting layers corresponding to the target working face is completed, operation is finished. The coal seam sandstone roof water retention coal mining method with control while mining based on mining-induced fracture grouting is high in safety and water control mining efficiency, and resources are saved.

The invention discloses a coastal corrosion geological environment structure corrosion resistance evaluation method and system, and relates to the technical field of building structure corrosion resistance evaluation. The method comprises the steps of data acquisition, coast environment corrosion factor data is acquired by arranging a sensor module, related data of a building structure is acquired at the same time, and the accuracy of assessment data and assessment results is effectively improved by considering multiple factors into the corrosion resistance assessment of the building structure in the coast region; meanwhile, a coupling corrosion rate correction model is constructed, corrosion factor data monitored in real time and real-time data of the building structure are combined, the purpose of evaluating the corrosion resistance of the building structure in the coastal area according to real-time changes of corrosion factors in the tidal period is achieved, the real-time performance of an evaluation result is guaranteed, and the evaluation efficiency is improved. And the accuracy of the evaluation data is further improved.

The invention belongs to the technical field of rock drills, and discloses a rotary impact type hydraulic rock drill. The rock drilling bit group is arranged in one side of the rock drilling machine shell; the rotating mechanism is arranged at the top of the rock drill shell, and the rotating mechanism is located above one side of the rock drill bit set; according to the technical scheme, by arranging the hydraulic mechanism, the cooling and cleaning assembly and the driving assembly, when the hydraulic mechanism is started to make the output end collide with one end of the middle of the rock drilling bit set back and forth, the top of one side of the driving assembly is driven to move up and down back and forth; cold water in one side of the cooling and cleaning assembly can be pumped back and forth into the other side of the cooling and cleaning assembly, and then the cold water can be sprayed out through the other side, so that heat generated by the impact part of the hydraulic mechanism and the rock drilling bit group can be cleaned and cooled; the service life of parts in the rock drill shell is prevented from being influenced by high temperature.

The invention discloses a weakly cemented mining stratum roadway roof separation limit value determination method, relates to the technical field of mine roadway damage surrounding rock anchor net cable support and roof stability monitoring, and focuses on roadway surrounding rock roof support and monitoring of a weakly cemented coal mining stratum. The most typical damage form is sudden roadway roof fall and roadway integral convergence, and the life safety of mine engineering technicians is greatly threatened. The roof separation value is the relative displacement between two measuring points in the surrounding rock and between the surrounding rock at the end of the anchor rod and the surface of the roadway roof, belongs to the mine pressure display of the mine roadway, and is an important index for evaluating the anchor net cable supporting effect. The anchor net and anchor cable roof separation value based on the excavation disturbance rock damage degree is accurately calculated and monitored, and the method has important significance for guaranteeing mine safety production.

The invention relates to the technical field of building materials, and provides washing gangue concrete with high slump loss resistance and a mixing process thereof. The high-slump-retaining washed gangue concrete is prepared from the following raw materials in parts by weight: 200 to 220 parts of cement, 140 to 150 parts of mineral powder, 60 to 65 parts of fly ash, 680 to 720 parts of machine-made sand, 950 to 970 parts of washed gangue, 150 to 160 parts of water, 16 to 17.5 parts of a water reducing agent, 0.15 to 0.3 part of a slump retaining agent and 4 to 4.3 parts of polyethylene glycol. The slump retaining agent is hydroxypropyl methyl cellulose ether; and the viscosity of the hydroxypropyl methyl cellulose ether is 100 thousand mPa.s to 300 thousand mPa.s. According to the technical scheme, the problems of poor slump retaining performance and low compressive strength of washed gangue concrete in the prior art are solved.

The invention discloses a Beidou GNSS-based open pit coal mine slope monitoring method. The method comprises the steps of determining a target data length value of an open pit coal mine slope; acquiring an initial data set corresponding to the target data length value in the Beidou GNSS of the open pit coal mine slope; determining a data feature set corresponding to the initial data set, and determining the data feature set as a target data set; training the initial monitoring model based on the target data set to obtain a target monitoring model; obtaining current monitoring data of the open pit coal mine slope, and determining a current data characteristic value corresponding to the current monitoring data; and inputting the current data characteristic value into the target monitoring model to obtain a current state classification result of the open pit coal mine slope. According to the method, the target monitoring model learns the association relationship in the open-pit coal mine slope monitoring data, so that the open-pit coal mine slope monitoring data is automatically judged and classified based on the target monitoring model, and the accuracy of the monitoring result of the open-pit coal mine slope is improved.

The invention relates to the technical field of computer simulation, and discloses a coal mine underground reservoir environment risk assessment method and system, and the method comprises the steps: constructing a digital twinborn body of a coal mine underground reservoir; establishing a risk assessment index system; collecting monitoring data corresponding to the index system in real time; calculating risk coupling factors among different dimension indexes; according to the risk coupling factor and the real-time numerical value of each index, dynamically adjusting the weight of the index system, and generating a dynamic weight set; calculating a current comprehensive risk level; and extracting physical field parameter values in the real-time monitoring data, inputting the physical field parameter values into a multi-physical field coupling simulation engine for simulation, and outputting a prediction report. According to the invention, dynamic assessment and advanced early warning of the environmental risk of the coal mine underground reservoir can be realized, the risk identification precision and the emergency response capability are improved, and the method is suitable for safety management and control of the whole life cycle of the underground reservoir under complex geological conditions.