64 results about "Rockfill material" patented technology

The invention provides a rock-fill dam concrete panel cracking reliability calculation method and system, and the method comprises the steps: determining test parameters based on obtained physical parameters of a rock-fill material used by a rock-fill dam; duncan E-B model parameters are determined based on the test parameters, factor sensitivity analysis is conducted on the Duncan E-B model parameters based on an orthogonal test method, and sensitivity parameters are determined; carrying out random field characterization on the sensitivity parameters by using a normal random field, and discretizing random field data by using a Cholesky decomposition method to obtain a sample set and a test set of a training agent model; based on a Kriging model constructed by the sample set, performing optimization iteration through MPSO and a learning function to obtain an optimal agent model, and evaluating the optimal agent model; inputting the test set into the optimal agent model to calculate to obtain a predicted value and an evaluation index, establishing a structural performance function, and calculating to obtain the panel cracking reliability by adopting an important sampling subset simulation method; according to the method, the accuracy of the cracking reliability is improved.

The invention provides a rockfill material parameter multi-target inversion method and system based on parameter decision, and the method comprises the steps: simulating an obtained Duncan-Zhang E-B model parameter based on a finite element model for constructing a rockfill dam, carrying out the calculation to obtain a dual-target function value, and determining a key parameter of a measurement point; generating a sample data set based on the key parameters, inputting the sample data set into an XGBoost model for training, inputting the key parameters into the trained XGBoost model, performing calculation to obtain a multi-objective function value, constructing a candidate solution set based on a particle swarm, the multi-objective function value and a dual-objective function value, and performing individual optimization and iterative updating to obtain an optimal solution set; inputting the optimal solution set into a composite decision index model, calculating to obtain composite decision index values, extracting the optimal solution set corresponding to the minimum value in the composite decision index values, and obtaining optimal parameters; and inputting the optimal parameter into the finite element model, and calculating to obtain an inversion result. According to the method, the parameter inversion precision, the physical rationality and the engineering applicability are improved.

The present invention relates to the field of computers and the field of hydraulic structures. Disclosed is an integrated rockfill dam deformation analysis method based on the integration of multiple professional models, the method comprising the following step: S1, using a parameter back-analysis method to establish a constitutive model for rockfill materials. Further disclosed is a rockfill dam deformation analysis system based on the integration of multiple professional models, the system comprising a parameter back-analysis module, which is used for establishing a constitutive model for rockfill materials. Moreover, further disclosed is a rockfill dam deformation analysis device based on the integration of multiple professional models, the device comprising a cluster management host, which is responsible for resource allocation and management of an entire device network. Using containerized WebSocket technology greatly simplifies real-time data exchange and communication between containers; moreover, in a complex data processing flow, an output of step S1 can immediately serve as an input of step S2, and an output of step S2 can immediately serve as an input of step S3; and the "single communication, persistent connection" advantage based on the WebSocket technology reduces the communication load of servers.

The invention discloses a rock-fill dam deformation analysis model parameter updating method based on CEDAs, which is characterized in that a multivariate joint distribution relation of model parameters is extracted through triaxial experiment parameters of a plurality of groups of rockfill materials, and a mode of combining a machine learning agent model and a meta-heuristic optimization algorithm is adopted to update the parameters of a rock-fill dam deformation analysis model. More reasonable and reliable deformation analysis model parameters are intelligently and dynamically searched, so that the deformation analysis and prediction precision of the rock-fill dam is improved, and the deformation safety of the rock-fill dam in the full life cycle is guaranteed. According to the model parameter updating method provided by the invention, the optimal model calculation parameter combination can be accurately identified, and the precision of the deformation analysis model is effectively improved when the monitoring data is insufficient.

The invention discloses a rockfill material humidification strain result prediction method, and relates to the technical field of hydraulic engineering, the method comprises the following steps: obtaining a humidification test result of a rockfill material sample; wherein the humidification test result records the humidification volume strain and the humidification shear strain under the action of the humidification ball stress and the humidification deflection stress; according to the humidification test result, a first relation curve between the humidification volume strain and the humidification ball stress and a second relation curve between the humidification shear strain and the humidification deflection stress are obtained; acquiring a humidifying volume strain result of the target rockfill material according to the first relation curve, and acquiring a humidifying shear strain result of the target rockfill material according to the second relation curve. According to the technical scheme provided by the embodiment of the invention, the labor cost and time cost consumed in the prediction process are reduced, the acquisition efficiency of the humidifying strain result of the rockfill material is improved, the experience dependence on designers is avoided, and the accuracy of the humidifying strain prediction result of the rockfill material is improved.

The invention discloses a design and construction method for a deep covering layer high gravelly soil core wall rock-fill dam, and belongs to the technical field of design and construction of water conservancy and hydropower engineering structures. According to the design and construction method for the deep and thick covering layer high gravel soil core wall rock-fill dam, the contradiction between settlement deformation space-time evolution of upstream rock-fill materials and gravel soil core wall materials can be well solved, and the longitudinal crack risk of the dam crest is reduced. According to the design and construction method, a fissure type weathered sand slate stock ground, an alteration zone dominant granite stock ground and an engineering area excavation material are used as dam body rockfill material sources, zoning control over the fine particle content of rockfill materials is used as a main line, and humidification deformation of upstream rockfill materials is dispersed into the dam filling process; the unloading effect of humidification deformation and the loading effect of dam filling are overlapped to achieve self-adaptive adjustment of dam body stress deformation, and finally the high gravelly soil core wall rockfill dam built on the deep covering layer is obtained, wherein the upstream rockfill material adapts to settlement deformation of the gravelly soil core wall material, and the longitudinal fission trend of the dam crest meets the requirement.

The invention relates to the technical field of water conservancy and hydropower engineering, in particular to a self-compacting rock-fill concrete dam body construction method which comprises the following steps: rock-fill body construction: screening out rock-fill materials with the particle size of not less than 300mm, and conveying the rock-fill materials to a foundation surface in a bin to form rock-fill bodies with gaps; self-compacting concrete body construction is conducted, specifically, self-compacting concrete is pumped to the upper portion of the rockfill body, the self-compacting concrete flows to fill gaps between the rockfill materials, and the self-compacting concrete is solidified and hardened into a self-compacting concrete body 3; the particle size of coarse aggregate in the self-compacting concrete is not larger than 20 mm, and the content of needle-sheet-shaped particles is not larger than 8%. According to the method, the particle size of the rockfill material is limited, and the particle size of coarse aggregate and the content of needle-sheet-shaped particles in the self-compacting concrete are limited; the self-compacting concrete can be fully filled into gaps between dam bodies of rockfill materials, so that the compactness of the dam bodies is improved, the risk of dam body engineering structure damage is reduced, and the construction quality of the dam bodies is improved.

The invention belongs to the field of geotechnical engineering, and relates to a method for determining particle strength distribution in a rockfill material humidifying process. According to the method, the change relation of the moisture content of the particles along with the humidifying time is tested in a particle soaking humidifying test, the probability distribution of the particle strength under different humidifying durations is given, and a probability distribution function of the particle strength under different moisture content conditions and a parameter determination method thereof are provided. The method lays a foundation for simulating the rockfill material humidifying process through a discrete element method, tracking particle structure evolution in the humidifying process, exploring the rockfill material humidifying deformation mechanism and finely analyzing the stress deformation state in the rockfill dam humidifying process. The method can be further applied to hydroelectric and wind-solar complementary power stations to determine reservoir water level operation schemes and provide technical support for increasing benefits of the complementary power stations.

The utility model belongs to the field of screening devices, and particularly relates to a mechanical screening device for rockfill materials, which comprises a screening box, supporting legs are fixedly connected to the lower end of the screening box, a frame is hinged to the interior of the screening box, a screen is fixedly connected to the interior of the frame, and a vibrating mechanism is arranged on the screening box. A material guide plate is hinged to the interior of the screening box, a buffering mechanism is arranged in the screening box, and a guide groove is fixedly connected to the surface of the screening box. The connecting sleeve is driven by the motor to rotate, so that the eccentric wheel rotates to collide with the screen mesh, and when the device is used, the screen mesh can vibrate, large-particle stones are prevented from being clamped in screen holes of the screen mesh, and screening of the screen mesh is more efficient.

The application discloses a rockfill material gradation detection method and device based on unmanned aerial vehicle aerial survey and instance segmentation, and comprises the following steps: establishing a conversion relationship between surface gradation and overall gradation by relying on local surface rockfill material images before density pit excavation and rockfill material screening results of the density pit; obtaining a rockfill dam filling bin surface image by using unmanned aerial vehicle close-range photogrammetry technology; generating an orthographic image of the filling bin surface; making an image dataset based on the orthographic image; training an instance segmentation model jointly constructed by YOLOv8 and Unet to obtain an instance segmentation model for rockfill material segmentation; obtaining an orthographic image of a rockfill dam filling bin surface to be predicted and cutting it into small blocks, using the instance segmentation model to perform prediction, realizing pixel-level instance segmentation and morphology extraction; splicing the predicted blocks, performing morphology quantitative analysis on the rockfill material instances obtained by prediction, and obtaining overall bin surface rockfill gradation through gradation conversion. The application realizes accurate and efficient gradation detection of overall bin surface rockfill.

The invention provides a same-measuring-point rockfill material grading upper envelope line prediction method and device, electronic equipment and a storage medium, and relates to the technical field of engineering geophysical exploration, and the method can realize the nondestructive detection of the initial quality of each particle group in a same-measuring-point rockfill material by using a surface image and a ground penetrating radar profile map in combination with a standard radar map. And the grading upper envelope line is calculated by adopting the maximum dry density, so that the obtained grading upper envelope line is closer to the real crushing and grading evolution state of the rockfill material. Moreover, the method adopts a nondestructive testing mode to predict the grading upper envelope line of the rockfill material at the same measuring point, the amount of data required to be detected is small, the calculation model is clear, the prediction efficiency can be improved, the prediction cost can be reduced, the influence on the construction progress of the dam can be avoided, the interference on the grading upper envelope line caused by introduction of human factors can be avoided, and the prediction accuracy is improved. And the accuracy of the grading upper envelope line is improved.

The invention provides a rockfill material excavation efficiency monitoring method and device. The method can significantly improve the recognition precision of the interaction action of the excavator and the truck in a complex shielding scene, and improves the judgment accuracy of the working state of the equipment, thereby effectively calculating the utilization rate of the construction equipment and the collaborative operation efficiency, and optimizing the earthwork scheduling management.

The invention discloses a three-dimensional random field-based rockfill material space variability discrete element simulation method. The method specifically comprises the following steps of: 1, constructing a triaxial test discrete element model and determining related parameters; step 2, generating a three-dimensional random field based on Karhunen-Loeve expansion; and step 3, random interpolation and assignment of particle contact parameters. Aiming at the technical defect that the real mechanical behavior of the rockfill material cannot be accurately reflected due to the fact that homogeneous hypothesis, two-dimensional modeling and continuous medium analysis are generally adopted in the prior art, the method comprises the following steps: constructing a three-dimensional random field of the rockfill material and introducing a discrete element particle system; more reasonable and more practical description of rockfill material space variability, macroscopic mechanical characteristics and mesoscopic mechanism deformation is realized.

The present invention provides a prediction method and system for the uniaxial compression void ratio of rockfill aggregates considering the influence of wet-dry cycles, including: screening out multiple groups of rockfill aggregates that conform to the particle size distribution characteristics of rockfill; conducting wet-dry cycle tests under different established numbers of wet-dry cycles N; conducting uniaxial compression tests; constructing a prediction model for the uniaxial compression void ratio e of rockfill aggregates considering the influence of the number of wet-dry cycles N; and predicting the uniaxial compression void ratio e of rockfill aggregates that conform to the same particle size distribution characteristics of rockfill aggregates after experiencing different numbers of wet-dry cycles N under different axial stresses σ v . The present invention fully considers the influence of wet-dry cycles caused by the rise and fall of the reservoir water level on the deformation of rockfill, obtains data that is more consistent with the actual void ratio of rockfill, and provides a scientific and effective means for predicting the deformation of actual rockfill dams during operation under the influence of cyclic changes in the reservoir water level.

The invention discloses a test device and method for observing settlement of an earth and rockfill dam in a construction period, and belongs to the technical field of dam safety monitoring of water conservancy and hydropower engineering. The method comprises the following steps: step 1, arranging an observation component A and an observation component B on the outer side of a transparent boundary constraint component; 2, the inner side of the transparent boundary constraint assembly is filled with soil and stone materials of a filling layer, and then the top of the filling layer is covered with a flexible auxiliary measuring plate; thirdly, the filling layer is rolled on the flexible auxiliary measuring plate through a rolling assembly; 4, calculating the curve change of the flexible auxiliary measuring plate by adopting an image recognition algorithm to obtain the settlement amount of the soil and stone material and the settlement amount along-line distribution rule; and step 5, repeating the step 2 to the step 4, obtaining the settlement amount and the settlement amount distribution rule of the earth and rockfill materials of the whole body and each filling layer through calculation, and depicting the settlement deformation condition of the earth and rockfill dam construction filling stage. And the full-section and full-time settlement deformation condition of the earth and rockfill dam construction filling stage can be accurately depicted.

The application discloses a kind of based on compaction yard face image's rockfill material grading curve generation device and method, its method includes: obtaining the image of rockfill material compaction yard face, and pre-processing to image;Obtain the contour of particle in image;Ray is generated in image, whether the line segment formed in the contour of particle of ray reaches setting value, if yes, then the frequency distribution of line segment length is counted if no, then the number of generated ray is increased and the step is repeated;Rockfill material grading function of fractal distribution is used to construct line segment length distribution theoretical solution P 1D (L);The frequency distribution of line segment length is fitted by line segment length distribution theoretical solution P 1D (L) corresponding grading parameter is obtained;Rockfill material grading curve is constructed based on grading parameter;The application can reduce the economic and time cost of obtaining rockfill material grading curve.

The invention belongs to the field of geotechnical engineering, and particularly relates to a variance calculation method for initial elastic modulus and bulk modulus parameters of a Duncan-Zhang EB model. Index values of initial elastic modulus parameters K and n and bulk modulus parameters Kb and m in a Duncan-Zhang EB model are mostly obtained by adopting a grouping test and arrangement method at present, but the mean value error and the standard deviation of the parameters are relatively large. If all test points are placed in the same coordinate system for regression calculation, the problems of small sample capacity and large parameter error can be well solved. However, the Duncan-Zhang EB model parameters are regressed by the least square method, regression residuals have square difference or correlation or both, so that the effectiveness of the parameters is reduced, and the variance is no longer minimum variance estimation. According to the method, through variable replacement, the residual error of a new regression equation has variance homogeneity and irrelevance, the method is applied to a triaxial test for regression of 12 groups of rockfill materials of a certain height earth and rockfill dam, and the result shows that the standard deviation of parameters is minimum by the generalized least square method provided by the invention.

The invention discloses a dam rockfill material compaction quality prediction method based on THO-XGBoost, and the method comprises the steps: obtaining input parameters and output parameters of a dam rockfill material compaction process, the input parameters at least comprise a material source characteristic parameter and a rolling characteristic parameter, and the output parameter is rolling dry density; converting the material source characteristic parameters, the rolling characteristic parameters and the rolling dry density into a unified space-time reference coordinate system by utilizing multi-source heterogeneous information integration and space-time association, realizing space-time registration of input and output data, and generating a compaction quality data set; and constructing an XGBoost integrated learning model based on the compaction quality data set, performing global optimization on hyper-parameters of the XGBoost model by adopting a Heman optimization algorithm introducing Tent chaotic mapping, establishing a compaction quality prediction model based on THO-XGBoost, and realizing high-precision prediction of the compaction quality. According to the method, the precision and stability of rockfill material compaction quality prediction are effectively improved, the dependence on detection of a large number of test pits is reduced, and a basis is provided for construction quality control and process optimization.

This invention discloses a method for solving the rockfill material crushing path, belonging to the technical field of rockfill dam deformation analysis. The method primarily solves the rockfill material crushing path through the following steps: first, using a boundary element numerical solver based on computational solid mechanics to calculate the stress at sample points within the rockfill material numerical model; then, using a crushing factor calculation formula proposed by the yield criterion, solving for the crushing factor at each sample point; then, using the crushing factor at each sample point to plot a three-dimensional surface diagram of the rockfill material; and finally, using the digital elevation-feature line method proposed in this invention, discretizing the three-dimensional surface diagram of the rockfill material and extracting the crushing path. This method demonstrates its effectiveness by establishing a boundary element numerical solver, proposing a formula for solving the crushing factor at each rockfill material sample point, and solving the crushing path for the rockfill material.

The invention discloses a rock-fill material parameter inversion method based on weight coefficient distribution. The method is specifically implemented according to the following steps: step 1, collecting rock-fill dam engineering data, establishing a finite element model, screening key material parameters of a Duncan-Zhang E-B model by adopting orthogonal test and range analysis, and establishing a target function; step 2, XGBoost multi-output model training is carried out; step 3, carrying out MOPSO multi-objective optimization and weight distribution; and 4, inputting the inversion parameters into the finite element model, and verifying the consistency of the calculated settlement and the actually measured data. According to the method, the problems of insufficient partition deformation difference description, subjective weight distribution and low calculation efficiency in the prior art are solved.

The invention discloses a rockfill material geometric characteristic identification method based on ImageJ-Cellpose. The method comprises the following steps: step 1, inputting a rockfill material sampling picture into a Cellpose algorithm; step 2, denoising processing is performed on the segmented rockfill material image, and a median filtering method, graying processing and binarization processing are adopted to obtain a clear binary image; step 3, performing segmentation extraction on the rockfill material, performing concave point judgment on the currently extracted contour, performing statistics on the completely segmented rockfill material particles, taking a contour map as a mask, and extracting a corresponding grey-scale map; and step 4, selecting measurement elements, automatically measuring and analyzing the particle size and the area of the particles and the length ratio information of the circumscribed ellipse, and determining the area ratio to obtain final results of grading and porosity. The invention belongs to the technical field of rockfill material grading and porosity detection, and solves the problems that a detection method in the prior art can only detect local information, and model training needs a large amount of data.

The present invention discloses a removal system, in particular, a system for removing excessive fine particles in rockfill dam rockfill materials, which belongs to the technical field of design and manufacturing of equipment for the preparation of hydraulic dam construction materials. A system for removing excessive fine particles in rockfill dam rockfill materials is provided, which has a high degree of automation, good screening effect of excessive fine particles, and can meet the needs of ultra-large filling. The removal system includes at least a vibrating screening device and a monitoring and control device, and the control end of the vibrating screening device is connected to the monitoring and control device; the excessive fine particles in the rockfill materials are removed to a specified content range by the vibrating screening device, and the monitoring and control device controls the screening vibration frequency and screening time by monitoring the amount of fine particles screened out by the vibrating screening device in real time.

The application discloses a kind of earth-rock dam construction feed control optimization methods considering dam rockfill gradation spatial variability, comprising: using unmanned aerial vehicle to obtain the image of earth-rock dam surface, and the image is pretreated;Fractal dimension of rockfill filling warehouse surface image is obtained by "box" dimension method, and potential dense packing pore ratio and other information of in-situ gradation rockfill are predicted according to accumulation algorithm;The above steps are repeated at different positions and different elevations of earth-rock dam filling warehouse surface, and the state-dependent constitutive theory of rockfill is used to obtain the distribution of overall mechanical properties of earth-rock dam;According to the overall mechanical property distribution, the deformation law of dam body during construction is quickly predicted, and the subsequent construction feed control optimization scheme is made according to the set deformation threshold value.The application can quickly and non-destructively obtain the gradation information of rockfill and optimize the construction, reduce the economic and time cost, and improve the construction quality and stability of earth-rock dam.

The application discloses a construction method for content control filling of fine particle rockfill of a rockfill dam, and belongs to the technical field of design and construction of hydraulic and hydroelectric engineering buildings. The construction method can effectively improve the filling quality of the rockfill dam, and the particle size of the rockfill of each part of the rockfill dam meets the requirements. The construction method comprises the following steps: firstly, the rockfill dam body and the rockfill yard are divided into zones; then, the rockfill mining and the rockfill filling are carried out in a one-to-one correspondence according to the rockfill dam body zoning and the rockfill yard zoning; the quality of each rockfill dam layer is detected; the fine particles with excessive content are removed from the rockfill of the outer area of the rockfill dam body and / or the filling area of the upper part of the rockfill dam body in the rockfill transfer process; and the surface broken fine powder layer exceeding the standard after the paving and rolling of each filling layer are scraped off before the filling of the next layer of rockfill.

The invention belongs to the technical field of geotechnical engineering, provides a method for correcting humidifying deformation of an earth and rockfill dam based on field actual measurement of moisture content and density of rockfill materials, and aims to accurately reflect actual rules of humidifying deformation of the rockfill materials and improve safety and reliability of design and operation of the earth and rockfill dam. The method comprises the following steps: firstly, selecting a typical rockfill material on site for scale reduction, and systematically carrying out humidification deformation tests under different initial water contents and densities to obtain a rule that the humidification deformation characteristics of the rockfill material change along with the dry density and the water contents; then, on the basis of a conventional humidification model, a correction coefficient is introduced, and a humidification deformation correction formula under water content and density control is established; and finally, substituting the field actually measured moisture content and density data into the correction formula to obtain a correction coefficient, thereby realizing accurate prediction of the humidification deformation of different dam body areas. The method has the advantages of high accuracy, low test cost and good field adaptability, and is suitable for design and evaluation of various large dam body projects such as pumped storage.

The present invention provides a prediction method and system for the crushing strength of rockfill materials considering the coupling effect of stress and wet-dry cycle. The method includes: Step S1, obtaining multiple groups of rockfill material samples; Step S2, conducting stress-wet-dry cycle coupling tests on each group of the rockfill material samples under different numbers of wet-dry cycles N and different stresses P; Step S3, conducting crushing tests on each group of the rockfill material samples that have completed the stress-wet-dry cycle coupling tests; Step S4, constructing a prediction model for the crushing strength of rockfill materials considering the coupling influence of stress and the number of wet-dry cycles; Step S5, predicting the crushing strength of the rockfill materials to be predicted under different wet-dry cycles and different stresses. The present invention fully considers the coupling effect of stress and wet-dry cycle on rockfill materials in the actual environment of the rockfill dam, so that more data conforming to the crushing strength of rockfill materials can be predicted.

The invention relates to the technical field of connection of asphalt concrete core wall dams and gravity dams, and discloses an asphalt concrete core wall dam and gravity dam embedded joint structure and management and control system.The asphalt concrete core wall dam and gravity dam embedded joint structure comprises a cambered surface in contact with an asphalt core wall rockfill dam, an inclined surface in contact with a transition material and a step shape in contact with a rockfill material; wherein the two sides of the cambered surface in contact with the asphalt core wall rockfill dam are provided with inclined surfaces in contact with the transition material, and one side of the inclined surface in contact with the transition material is provided with a step shape in contact with the rockfill material; a plurality of intelligent management and control systems are installed between the asphalt core wall rockfill dam and the concrete gravity dam on the axis of the asphalt core wall rockfill dam, the intelligent management and control systems are connected with heating resistors and thermocouples, and the heating resistors are connected with the thermocouples. The management and control system comprises a multi-parameter coupling temperature control module, a self-adaptive maintenance module and an earthquake response and deformation coordination module. The side type joint effectively solves the problem that the cost of building a high retaining wall of an existing side type joint is high.

The application provides a rockfill dam seismic response randomness analysis method based on a test database, and belongs to the technical field of hydraulic engineering. First, a coarse-grained soil dynamic property database Geo-Gravel is constructed, and a deep learning model based on given physical parameters to generate corresponding dynamic parameters is trained; second, a finite element model and a material parameter random field are constructed, and the material parameter random field is assigned to the finite element model; third, the dam body dynamic response is obtained through calculation by using a finite element software; finally, the extreme values of the displacement and acceleration of the dam body dynamic response and the probability distribution thereof are counted, and the statistical results are analyzed to quantify the influence of the material physical parameter randomness on the dam body dynamic response. The application can effectively reduce the test cost, truly reflect the spatial variation characteristics of the rockfill material, and show through the probability distribution analysis that the parameter randomness significantly influences the dynamic response result, and the dispersion degree and the variation coefficient are positively correlated, thereby providing a reliable basis for seismic design.

The invention discloses a construction method for filling a rockfill dam by controlling the content of fine-particle rockfill materials, and belongs to the technical field of design and construction of water conservancy and hydropower engineering buildings. According to the construction method for filling the rock-fill dam by controlling the content of the fine particle rockfill materials, the filling quality of the rock-fill dam can be effectively improved, and the particle sizes of the rockfill materials filled in all parts of the rock-fill dam meet the requirement. The construction method comprises the steps that firstly, a rockfill dam body and a rockfill material yard are partitioned, then rockfill material mining and rockfill material filling are conducted in a one-to-one correspondence mode according to the partitions of the rockfill dam body and the partitions of the rockfill material yard, and quality detection is conducted on all filled rockfill dam layers; in the rockfill material transferring process, fine particles with the content exceeding the standard are at least removed from the rockfill materials in the outer side area of the rockfill dam body and / or the filling area of the upper middle portion of the rockfill dam body; and in the process of filling the dam body layers layer by layer, after paving and rolling of the filling layers are completed, scrape-off treatment is conducted on the broken superstandard fine powder layers on the surfaces, and then filling of rockfill materials of the next layer is conducted.

The invention discloses a three-dimensional point cloud-based rockfill material grading detection method, and relates to the technical field of rockfill material grading detection. The method comprises the following steps: acquiring three-dimensional point cloud data of paved stone particles by utilizing laser scanning, and projecting the three-dimensional point cloud data along an overlook direction to generate a depth map; inputting the depth map into an instance segmentation model, and extracting a segmentation mask of each particle; the masks are mapped back to the point cloud, so that accurate segmentation of the three-dimensional particles is realized; further extracting the three-dimensional morphological characteristics of each particle, and predicting the particle volume and particle size based on the characteristics; and finally, finishing grading statistics and grading curve drawing of the rockfill material in combination with particle size and volume information of the particles. The rockfill material grading detection device can efficiently and accurately realize rockfill material grading detection, and has the advantages of high precision, high automation degree and the like.