161 results about "Muck" patented technology

The invention discloses a muck water content prediction method and system suitable for shield tunnel construction, and the method comprises the steps: obtaining first data corresponding to to-be-measured muck in the shield tunnel construction in real time based on a self-adaptive window; in combination with a triangle cumulative sectional area method and an AE-FPFH-ICP algorithm, performing parallel processing to generate second data and third data corresponding to the to-be-measured muck; constructing a PLS-SVR combined model, and according to the PLS-SVR combined model, respectively combining the first data, the second data and the third data, and generating fourth data corresponding to the to-be-measured muck in real time; according to the method, the system and the platform corresponding to the method, high precision and robustness are shown in muck water content detection, the constructed PLS-SVR combined model is excellent in performance when processing a complex nonlinear relation, the water content of muck can be accurately predicted in real time, adaptability is high, and the high-precision requirement of tunnel construction for water content detection is met.

The invention discloses an SAR (Synthetic Aperture Radar) soil surface water content inversion method and device based on deep learning, and the method comprises the steps: constructing a deep learning regression model for predicting the volume content of soil water through combining SAR data, auxiliary data and in-situ sensor data; a ConvNeXt model is adopted to construct a parallel convolution encoder to solve multi-source data with different input resolutions, and back scattering coefficients, spectral information, digital elevation model high-resolution data and soil sand content, sludge content, clay content and stacking density low-resolution data are fused into soil moisture estimation. And the inference capability of unknown data is improved. The model obtained by training can realize large-range and high-resolution automatic estimation of the water content of the soil surface layer. According to the invention, the influence of radiation transmission noise is avoided, the inversion precision of a vegetation coverage area is improved, and large-range high-resolution automatic processing of soil humidity products is realized.

The invention discloses a soft foundation treatment method under the condition of reinforced flow-state muddy soft soil. According to the intelligent soft foundation treatment method, an intelligent monitoring and control system is introduced, the whole soft foundation treatment method achieves accurate monitoring and automatic adjustment of the construction process, and remarkable beneficial effects are achieved. Firstly, key parameters such as pore water pressure, soil deformation and underground water level are monitored in real time, so that engineers can quickly respond to changes of soil properties and timely adjust preloading load and vacuum degree, construction efficiency is optimized, and unnecessary construction period delay is reduced. And secondly, due to automatic data acquisition and processing, the accuracy and speed of data processing are greatly improved, personal errors are reduced, and the construction quality is ensured. In addition, the intelligent system can give out early warning in time when potential risks are found, construction safety is guaranteed, and the possibility of accidents is reduced.

The invention discloses a mucky soil foundation intelligent monitoring method based on multi-source data fusion, and particularly relates to the technical field of foundation monitoring and early warning. The method comprises the following steps: constructing an original soil body state data set of a mucky soil foundation, and carrying out anomaly elimination and time calibration based on a rheological constitutive model to generate a foundation state characteristic matrix; performing dynamic causal association tracking analysis on the feature matrix in a sliding window mode to generate a water-soil coupling drift parameter set; extracting a stress historical dependency coefficient set by using a nonlinear scale analysis method; and according to the water-soil coupling drift parameter set and the stress historical dependency coefficient set, the stability risk level of the mucky soil foundation is judged, and corresponding early warning information is selected from a preset graded early warning instruction database and output, so that the accuracy and adaptability of anomaly recognition and risk early warning are improved, and the accuracy and the adaptability of abnormal recognition and risk early warning are improved. The method is suitable for long-period stability monitoring and intelligent risk prevention and control of high-soft foundations or silt stratums.

The invention discloses a shield muck modified slurry grouting reinforcement effect evaluation method based on multi-data fusion, and belongs to the field of shield construction grouting. The method comprises the steps that during field monitoring, a monitoring section is selected according to tunnel geology and structure characteristics, and a sensor is installed; acquiring data of soil pressure, displacement and pore water pressure, calculating corresponding change rate and gradient, and analyzing change trend. According to the numerical simulation, a three-dimensional model is established based on geological exploration and the like to determine parameters, shield propulsion and grouting reinforcement are simulated, and stratum deformation, soil stress and slurry diffusion and permeation data are obtained. And in the data fusion link, the two types of data are subjected to standardization processing, grouting reinforcement effect grades are divided to determine a prior probability, a probability distribution model is established for monitoring indexes, and a posterior probability is calculated through a Bayesian formula to determine an evaluation result. According to the method, various data are integrated, the reinforcement effect can be comprehensively and accurately evaluated, a scientific decision basis is provided for shield tunnel construction, the construction quality and safety are improved, and waste soil resource utilization is optimized.

The invention provides a shield soft and hard stratum interface identification method and system based on muck change characteristics, and the method comprises the steps: processing an image at a slag outlet, obtaining the shape and volume of rock slag, and obtaining the property of a hard rock stratum based on the shape and volume of the rock slag; the shield muck is scanned in real time, the scanning surface of the surrounding environment is determined through the distance measurement value and the angle value, a shield muck reconstruction model based on laser point cloud scanning is formed, and the muck volume is obtained based on the shield muck reconstruction model; calculating a hard rock area proportion in the soft and hard interface according to the rock slag volume and the muck volume; obtaining a vibration signal when a shield hob enters a hard rock stratum from a soft stratum in the tunneling process of the shield tunneling machine in the composite stratum, and obtaining a change interface position of the soft and hard stratum according to the vibration signal; and drawing a shield excavation face soft and hard stratum interface sketch based on the hard rock area proportion in the soft and hard interface and the change interface position of the soft and hard stratum, and identifying the shield excavation face soft and hard stratum interface.

The present invention discloses a full - probability risk quantitative assessment method for the landslide of a muck yard considering the three - dimensional spatial variability of muck, which includes the following steps: conducting borehole exploration of the muck yard site to obtain muck yard data; obtaining random field parameters characterizing the spatial variability of muck; simulating the three - dimensional spatial variation characteristics of muck; based on the limit equilibrium method, conducting the three - dimensional slope stability assessment of the muck yard and estimating the potential landslide volume; simulating the possible migration ranges under various landslide volumes; statistically collecting the life and property data of downstream disaster - bearing bodies, and based on the vulnerability assessment formulas for buildings and personnel, estimating the vulnerability of disaster - bearing bodies according to the landslide intensity; establishing a full - probability risk assessment formula for the muck yard landslide, and conducting quantitative risk assessment and risk rating. The present invention considers the unique spatial variation characteristics of muck, analyzes the stability, potential sliding position and volume from a three - dimensional perspective, and combines with the quantitative vulnerability assessment method to achieve accurate risk assessment.

The invention discloses a method and system for predicting the full mix proportion strength and modulus of sludge solidified soil, and relates to the field of building materials, and the method comprises the following steps: obtaining related input data of the sludge solidified soil; constructing a physical information neural network model, and embedding a physical equation describing the mechanical behavior of the sludge solidified soil into the neural network model as a constraint; training a physical information neural network model by using the input data to enable model parameters to converge step by step, and comprehensively considering experimental data errors and physical equation residual errors in the training process; and using the trained and converged physical information neural network model to predict the strength and modulus of the sludge solidified soil. The system comprises all modules for implementing all the steps. According to the method, a traditional neural network is combined with a physical equation for describing the sludge solidified soil, and the problems that a traditional prediction method excessively depends on an empirical formula, the data demand quantity is large, and the generalization performance is poor are effectively solved.

The invention discloses a mucky clay pile foundation drilling parameter regulation and control method and system, and belongs to the technical field of pile foundation drilling construction.The method comprises the steps that historical construction data of mucky clay pile foundation drilling is collected and preprocessed, and a data set is constructed; constructing and training a machine learning model based on the data set to obtain a drilling parameter time sequence prediction model; actual drilling parameters in the drilling process are collected in real time and compared with predicted drilling parameters output by the model, and drilling parameter errors are determined; and dynamically adjusting the drilling parameters of the drilling machine based on the drilling parameter error. According to the method, key parameters such as the drilling pressure, the rotating speed and the slurry concentration are intelligently regulated and controlled, so that the pile foundation construction efficiency and the hole forming quality in the complex soft soil stratum are improved, the construction risk is reduced, and the engineering safety is ensured.

The invention relates to the technical field of side slope sampling, and discloses side slope environment sampling equipment for water and soil conservation, which comprises a sampling barrel, and further comprises a sampling disc fixedly mounted at the bottom of the sampling barrel; the sludge sampling assembly is arranged on the sampling disc, and the sludge sampling assembly is used for sampling side slope sludge; the sealing disc is slidably arranged in the sampling barrel, and a piston rod is vertically arranged at the top of the sampling barrel; the limiting and unlocking assembly is arranged at the top of the sampling barrel, and the limiting and unlocking assembly is used for limiting the piston rod. The device can sample water and sludge at the slope at the same time, avoids the situation that water and sludge samples need to be collected separately and cannot be collected at the same time, and consequently the overall sampling efficiency is low, and can also indicate when water sampling reaches the specified depth, so that the uniformity, accuracy and uniformity of the water sampling depth are guaranteed, and the sampling efficiency is improved. Therefore, the sampling effect of the equipment on the slope environment is improved.

The invention provides a curing agent mix proportion design method for a nomadic type flow state solidified soil production line, and belongs to the technical field of computational chemistry, the method comprises the following steps: collecting an original soil sample of a to-be-borrowed area such as a beach culture sludge area, carrying out basic property determination, and establishing a multilayer neural network original soil evaluation system to carry out quantitative evaluation on the adaptability of original soil; constructing a five-layer neural network curing agent constraint system to determine a ratio range; designing a test scheme by adopting a Latin hypercube sampling method; establishing a multi-layer neural network performance evaluation system and a reaction mechanism system for comprehensive evaluation; preparing a standard test block to determine engineering performance; a matching scheme is verified through production line trial production, an engineering performance verification matrix is established, and a fuzzy comprehensive evaluation method is adopted to ensure that the performance meets engineering requirements. According to the scheme, the systematic design and optimization of the curing agent ratio are realized through the synergistic effect of a plurality of neural network models.

The invention discloses a comprehensive treatment system and method for shield muck in a complex geological environment. The problem that in the prior art, the shield muck treatment efficiency is low in the complex geological environment is solved. The method mainly comprises the steps that S1, the shield muck is pumped into a mud-water separation system for muck and mud separation; s2, setting the specific gravity separation value of muck-containing particles to be 2.70 KG / m, after the slurry enters a slurry making system, conveying the slurry with the specific gravity of muck-containing particles smaller than 2.70 KG / m to a shield tunneling machine for tunneling circulation, and conveying the slurry with the specific gravity of muck-containing particles larger than 2.70 KG / m to a filter pressing system for filter pressing dehydration or conveying and filling the slurry into a geotextile tube bag for curing dehydration; and S3, sand washing and recycling are conducted on muck generated by the mud-water separation system, the filter pressing system and the geotextile pipe bag. According to the method, the slurry and the muck in the shield muck can be efficiently separated by combining methods of mud-water separation, filter pressing dehydration, geotextile tube bag solidification dehydration and the like, and the separated slurry and the separated muck are respectively recycled.

The invention relates to the technical field of tunnel and underground engineering shield grouting, in particular to a shield muck ecological grouting material based on stratum adaptability and a production process, the ecological grouting material is prepared from shield muck subjected to fineness modulus classification, carbide slag, slag, fly ash and a water reducing agent, according to the technical scheme, the preparation technology of muck crushing, preliminary screening, grinding, fineness screening, hydrolyzed mud adding and grouping mixing and the ecological grouting material for different stratum adaptability are formed, and the prepared ecological grouting material has the dual advantages of being environmentally friendly and considering the stratum adaptability; the ecological grouting material has the advantages of large apparent density, low bleeding rate, high compressive strength, good water-land strength ratio and the like, is mainly applied to shield tunnel wall back grouting of tunnels and underground engineering, and is mainly used for enhancing soil layer stability and guaranteeing safety of ground buildings.

The invention provides a cohesive soil early consolidation pressure detection method and device, and belongs to the technical field of geotechnical engineering detection.The cohesive soil early consolidation pressure detection method comprises the steps that a structured database is established based on engineering area historical drilling data and geotechnical test data; extracting data subsets corresponding to the soil texture types from the database, and respectively constructing mucky soil and conventional cohesive soil early consolidation pressure prediction models; acquiring a standard volume soil sample and density and water content data thereof; drilling position coordinates, orifice elevation, sampling depth and soil sample specific gravity parameters are input; selecting a prediction model according to the soil texture type, inputting related data, and outputting an early consolidation pressure value; and comparing the early consolidation pressure value with the current effective self-weight stress, and judging the consolidation state of the soil body. According to the method, the detection period of the early consolidation pressure of the cohesive soil body is shortened, subjective factors in the manual curve drawing process are eliminated, and the data accuracy and the working efficiency are improved.

The invention belongs to the technical field of resource utilization of engineering residue soil, and particularly discloses an adjustable backfill material based on low-viscosity fine-grained soil and a preparation method of the adjustable backfill material. The adjustable backfill material comprises the following components in percentage by mass: 65-85% of low-viscosity engineering waste soil, 5-10% of a high-strength curing material system, 0-1% of a fluidity promoting material system, 0-1.5% of a compactness reinforcing material system and 5-25% of water, wherein the sum of the percentages of the components is 100%. According to the backfill material, low-viscosity fine-grained soil serves as base soil, three different material systems including a high-strength curing material system, a fluidity promoting material system and a compactness enhancing material system are doped, and cured soil with the properties of high fluidization, self-compaction, controllable strength, low permeability and the like is obtained; the raw materials of the backfill material are simple and easy to obtain, the process is simple and convenient, different engineering requirements can be met by regulating and controlling the proportion of different material systems, and the problems that the muck containing area is insufficient and the disposal cost is high can be effectively solved.

The invention discloses a shield muck heavy metal pollution intelligent sorting system and method based on multi-parameter online detection, and relates to the field of shield muck sorting, the shield muck heavy metal pollution intelligent sorting system comprises a muck sample pretreatment module, an online detection module, a pollution evaluation analysis module, a sorting execution module and a linkage control feedback module; the muck sample pretreatment module is used for separating coarse particles with the particle size larger than 50 mm and impurities in shield muck through a vibrating screen. According to the method, the initial value of the fine-grained soil content is detected in real time, data is automatically corrected based on a preset intelligent densimeter and a traditional densimeter difference correction model, rapid measurement is achieved, the detection efficiency is improved, a dynamic correlation model of fine-grained soil component changes is constructed by combining auxiliary parameters such as the muck weight, the water content and coarse grain grading, and the detection accuracy is improved. And the working condition adaptation module is linked to automatically improve the fine-grained soil detection frequency when the stratum mutation is identified by the shield PLC parameters, so that the data is ensured to closely follow the stratum change.

The invention discloses a layered drainage system for a muck slope, and relates to the field of muck slope drainage, the layered drainage system for the muck slope comprises a drainage channel, a surface drainage structure and an underground drainage structure, the drainage channel is arranged at the slope bottom, and the bottom of the drainage channel goes deep into a clay landfill layer; the surface drainage structure is arranged on the sand landfill layer and comprises an intercepting ditch, a plurality of drainage ditches and a plurality of inspection footpaths, the intercepting ditch is arranged on the slope top and communicated with the drainage ditches, the drainage ditches and the inspection footpaths are arranged on the slope surface and are in a step shape, the drainage ditches are distributed at intervals, and the inspection footpaths are communicated with the drainage ditches. An inspection footpath comprising a footpath main body and a plurality of catchment channels is arranged between any two adjacent drainage ditches, and the catchment channels are arranged on the lower side of the footpath main body and communicated with the drainage ditches; the underground drainage structure comprises a plurality of water collecting wells and a plurality of underground water pipelines which are arranged on the sand landfill layer, the water collecting wells correspond to part of the drainage ditches and are connected through the underground water pipelines, and one underground water pipeline is communicated with the drainage channel; therefore, ground surface and underground drainage can be achieved simultaneously, and drainage efficiency is improved.

The invention relates to the technical field of geological punching, and particularly discloses geological punching equipment for mining, which comprises driving equipment capable of three-dimensionally adjusting, a mounting disc is fixedly mounted at the bottom end of the driving equipment, and a middle shaft is rotatably mounted in the mounting disc; and a rotating cylinder arranged outside the middle shaft in a sleeving mode is rotationally installed in a groove formed in the bottom end of the installation disc, a drill bit is fixedly installed at the end, extending out of the rotating cylinder, of the middle shaft, a spiral conveying groove is formed in the outer wall of the drill bit, and a soil inlet gap is formed between the rotating cylinder and the drill bit. According to the device, the soil inlet gap is formed between the drill bit and the rotating cylinder, so that muck generated during drilling of the drill bit enters the rotating cylinder, the muck is conveyed out of a blast hole along the rotating cylinder through the spiral piece, and the muck can be conveyed in a dry-type soil moving mode; and the phenomenon that the explosion performance or the explosion effect of explosives in the blast hole is affected by too high water content in the blast hole after slurry circulation is avoided.

The invention discloses a viscous shield muck base synchronous grouting utilization method and system, a terminal and a medium. The method comprises the steps that the soil type soil property of a stratum corresponding to shield muck is obtained; when it is judged that the shield muck does not meet the soil filling standard according to the soil properties, mineral components of the shield muck are determined; obtaining a synchronous grouting performance requirement, and determining a target geopolymer according to the synchronous grouting performance requirement; obtaining a grouting material ratio according to the mineral components and the target geopolymer; and after the grouting material is obtained according to the grouting material ratio, the grouting material is injected into a gap between a tunnel and a stratum through a grouting system at the tail of a shield tunneling machine, and monitoring information of ground surface settlement and duct piece floating is obtained in the synchronous grouting and shield tunneling process. The waste muck generated in shield tunnel construction can be effectively treated, the resource utilization rate of the shield muck is increased, and the treatment cost and the influence on the environment are reduced.

The invention relates to a large-strain consolidation algorithm, equipment and medium for horizontal vacuum dehydration of sludge, and the algorithm comprises the following steps: 1, obtaining basic parameters of a constitutive relation of a target soil body through an indoor consolidation experiment and a penetration experiment, 2, obtaining load conditions of the target soil body through surveying a geological exploration report and an engineering design scheme, the method comprises the steps of (1) establishing a one-dimensional PHD consolidation model, (2) establishing a one-dimensional PHD consolidation model and deducing a control equation under equal strain conditions, (3) introducing a virtual time step and calculating the consolidation degree in a manner of carrying out segmented increment processing on time, (4) establishing the one-dimensional PHD consolidation model and deducing a control equation under equal strain conditions, and (5) calculating the final consolidation degree based on the virtual time step and the control equation, and further comprises equipment and a medium. According to the method, the influence of non-uniform consolidation is incorporated into the one-dimensional theoretical consolidation analysis of the Taisha foundation, and the consolidation coefficient is corrected by using the control equation based on the virtual time step and the strain condition, so that convenient and accurate consolidation calculation is realized.

The utility model discloses a shield muck and gravel separating device, and belongs to the field of shield muck and gravel. The shield muck and gravel separation device comprises a bucket, the interior of the bucket communicates with a filter cylinder, the surface of the filter cylinder is provided with an adjusting structure, the adjusting structure comprises an adjusting cylinder arranged on the surface of the filter cylinder in a sleeving mode, and the surface of the adjusting cylinder is provided with a through hole communicating with the filter cylinder. The adjusting cylinder can change the staggered communication area of the through hole and the filter cylinder in a rotating mode, a control structure is arranged on the back face of the bucket, and the control structure can control the adjusting cylinder to rotate; small stone and soil are filtered and separated through the filter cylinder by utilizing the through holes communicated with the surface of the adjusting cylinder, and the communicating area of the through holes in the surface and the filter cylinder can be changed by the rotatable adjusting cylinder, so that the effect of adjusting the filtering size is achieved, and the screening and separating requirements of the soil and the stone with different particle sizes are met.

The invention provides a method for measuring three-dimensional information of muck pile rocks, relates to the technical field of blasting, and aims to identify, analyze and process muck pile images, conveniently acquire a plurality of rocks and respective two-dimensional information from the muck pile images, and construct a plurality of initial three-dimensional models corresponding to the rocks on the basis of the two-dimensional information. Then, a lumpiness distribution curve obtained through actual sampling and screening of the muck pile is used as a benchmark, the data basis is combined, a target three-dimensional model is selected from the multiple initial three-dimensional models corresponding to each rock block, the target three-dimensional model is corrected through the lumpiness distribution curve, and therefore the target three-dimensional model is closer to the actual three-dimensional model of the rock block, and therefore the actual three-dimensional model of the rock block is obtained. The three-dimensional information, obtained according to the target three-dimensional model, of each rock block can accurately represent the actual three-dimensional size of the rock block, so that a reliable basis is provided for accurate evaluation of the blasting effect, and the technical progress of the blasting engineering field is promoted.

The invention discloses a Hakanson-LCA-based shield muck ecological influence assessment method, and relates to the field of shield muck ecological influence assessment. A Hakanson ecological risk assessment method and an LCA method are combined, and meanwhile, the potential ecological risk of heavy metal elements in shield muck and the carbon emission influence generated in the resource utilization and landfill disposal process are assessed; through the dual evaluation method, comprehensive analysis can be carried out on the muck from two dimensions of environmental pollution and climate change, more comprehensive ecological influence evaluation is provided, and a scientific basis is provided for environmental protection and waste management.

The soil sampler for soil detection comprises a sampling base plate, a supporting column is assembled at the upper end of the sampling base plate, and the supporting column is sleeved with a sliding base; a sampling rotating hole is formed in the side wall of the sliding seat, a sampling rod is assembled in the sampling rotating hole, a stand column is assembled at the bottom end of the sampling rod, and a drill bit is mounted at the lower end of the stand column; a soil sampling structure is assembled in the stand column; the soil sampling structure comprises a convex groove, an electric push rod b, a servo motor b, rotating teeth, a transverse hole and a sampling cavity; the soil sampler for soil detection is reasonable in structural design; during soil sampling, the electric push rod and the servo motor can be controlled to work at the same time, the electric push rod drives the rotating teeth to move downwards through the servo motor, meanwhile, an output shaft of the servo motor drives the rotating teeth to rotate to penetrate through a sludge layer and pierce into deeper hard soil, and therefore sampling of the hard soil is achieved.

The invention discloses a shield mud-water separation comprehensive processing system and method in a complex geological environment, and relates to the technical field of shield construction, and the method comprises the steps: collecting geological parameters and mud parameters of a construction area in real time, and synchronizing the geological parameters and mud parameters to a data processing unit through an Internet of Things transmission protocol; the propelling speed of hydraulic equipment of the shield tunneling machine and operation parameters of mud-water separation equipment are synchronously adjusted, and the mud separation efficiency and the shield tunneling speed are dynamically matched; monitoring performance indexes of the separated mud in real time, feeding back the performance indexes to a geological data fusion algorithm and a reinforcement learning algorithm, and updating a dynamic correction coefficient and a reward function weight; and carrying out filter-pressing dehydration on the solid muck after mud-water separation, detecting the heavy metal content, and uploading the heavy metal content to a block chain distributed account book in real time for evidence storage. On the basis of a feedback closed loop of real-time monitoring data, processing parameters and algorithm weights are continuously adjusted, the adaptive capacity to sudden change working conditions of a complex geological environment is enhanced, and efficient matching of the slurry separation efficiency and the tunneling speed is achieved.

The invention relates to the technical field of shield construction, in particular to a shield muck fine-grained soil content real-time detection system and deduction method based on multi-parameter fusion, and the system comprises a multi-parameter sensor unit, a data acquisition and transmission unit, a data processing and analysis unit and a display unit. According to the system, the content of fine-grained soil in muddy water separated from the muck is rapidly detected by using an intelligent densimeter after the muddy water is precipitated, a correction algorithm based on a data difference rule obtained by an indoor test is introduced, fine-grained soil content data detected by the intelligent densimeter is corrected, and a multi-parameter fusion algorithm is applied to determine the content of the fine-grained soil in the muddy water. Various processed shield muck data are comprehensively analyzed, rapid detection and analysis of fine-grained soil component changes in the shield muck are achieved, the problems that a traditional densimeter method is long in time consumption, complex in operation and poor in adaptability are solved through the system, real-time monitoring of the fine-grained soil content is achieved through the detection system, and the detection accuracy of the fine-grained soil component changes in the shield muck is improved. And a basis is provided for resource utilization of the muck.

The invention discloses fluid-state solidified soil prepared from engineering residue soil and a preparation method thereof, belongs to the technical field of building materials, and aims to effectively improve the impermeability, strength and flowability of the fluid-state solidified soil and solve the problems of poor seawater erosion resistance, poor flowability, weak stability and the like of the fluid-state solidified soil in a marine environment in the prior art. A large amount of wastes such as the engineering residue soil, the fly ash and the slag powder are used, dependence on natural resources is reduced, and meanwhile, the environmental protection problem of the wastes is effectively solved. And industrial waste is converted into useful building materials, so that the recycling of resources is promoted, and the concept of sustainable development is met.

The invention discloses a layered backfilling and ecological regreening system for flow-state solidified soil of an anchoring ditch of a refuse landfill. The layered backfilling and ecological regreening system comprises a muck (weathered rock) pretreatment unit, a flow-state solidified soil production unit, an ecological regreening unit, a pumping backfilling unit and an intelligent regulation and control unit. According to the system, the structure reinforcing function and the ecological restoration function are successfully integrated, and a brand-new and sustainable engineering residue soil (weathered rock) resource utilization and ecological backfill solution is provided.

The invention discloses an intelligent control system and a full-process quality control method for a sludge in-situ solidification embankment technology, the system comprises a solidification material slurry preparation and closed-loop control module, an on-line density meter is used for monitoring the slurry density in real time and feeding back and adjusting ingredients, and it is ensured that the slurry quality is stable; the construction front-end intelligent sensing and regulating module is used for inverting a soil body state through mechanical dynamics data such as torque and rotating speed, and regulating slurry or clear water injection parameters in a self-adaptive manner; the intelligent stuffy material time prediction module is used for predicting the optimal stuffy material time length based on the environment and material data; the digital twinning and quality tracing module integrates multi-source data and realizes visualization and quality tracing of the whole construction process; according to the invention, intelligent closed-loop control of slurry preparation, stirring construction and material covering processes is realized, soil texture variation is effectively dealt with, and the uniformity and reliability of construction quality are remarkably improved.

The invention discloses a solidified soil strength prediction method based on improved deep learning and a related device, and the prediction method comprises the steps: inputting a to-be-predicted soil sample basic physical characteristic parameter and a solidification test sample preparation parameter into a pre-trained deep learning neural network model, and outputting a soil sample strength index prediction result; the model construction and training method comprises the following steps: acquiring a sample data set; performing pretreatment; constructing a multi-layer neural network architecture, determining an optimal hidden layer number and an optimal hidden layer node number based on the sample data set, and obtaining a target neural network; and optimizing the weight of the target neural network by adopting the sample data set to obtain a trained deep learning neural network model. According to the method, a two-stage optimization mechanism is adopted, global optimization of the model structure and the model weight is achieved, the prediction effect is remarkably improved, the model training efficiency is improved, an interpretable machine learning technology is innovatively introduced, and an innovative solution is provided for intelligentization of resource utilization of muck and slurry.