78 results about "Muck" patented technology

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 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 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 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 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 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 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 application discloses a kind of mucky soil area pit-in-pit construction methods, the method comprises: one, construction pit bottom reinforcing construction structure;Two, construction steel sheet pile;Three, excavate top layer earthwork;Four, excavate and support inside earthwork excavation area;Five, excavate first layer annular soil pit and third layer inside soil pit;Six, excavate second layer annular soil pit and fourth layer inside soil pit;Seven, pour pit-in-pit pile cap and remove steel sheet pile.The application is excavated before whole earthwork, and steel sheet pile is struck, and pit-in-pit and steel sheet pile outside earthwork excavation are formed under the premise of guaranteeing construction safety, and the construction period of whole raft is greatly shortened, and large foundation pit whole supporting system is formed faster, and the exposure time of deep foundation pit is reduced, and the construction operation risk of mucky soil deep foundation pit is reduced;Through the process of pre-striking steel sheet pile, steel sheet pile whole pile is completed once, and the strength of steel sheet pile body and water-resisting effect are guaranteed.

The invention relates to a self-water-absorption fracturing device for mucky soil and a grouting method for the mucky soil, the self-water-absorption fracturing device comprises a water-absorption fracturing assembly, the water-absorption fracturing assembly comprises a water-absorption resin body, a water-permeable forming layer and a water-permeable supporting layer, a containing space is formed in the inner side of the water-permeable forming layer, the water-absorption resin body is located in the containing space, and the water-permeable supporting layer is located in the containing space. The accommodating space is used for accommodating a plurality of water-absorbent resin particles so as to form a water-absorbent resin body on the inner side of the water-permeable forming layer; the periphery of the water-permeable forming layer is coated with the water-permeable supporting layer, and the water-permeable supporting layer is used for supporting the formed water-absorbent resin body; and the water absorption fracturing assembly is inserted into a grouting hole pre-formed in the mucky soil, so that water in the mucky soil is absorbed through the water absorption resin body, and the mucky soil cracks through water absorption expansion of the water absorption resin. The technical problems that slurry for reinforcing mucky soil diffuses unevenly, and the reinforcing effect is poor are solved.

The invention belongs to the technical field of underground engineering, and particularly discloses an image multi-feature fusion shield muck flow plasticity automatic monitoring method and system, and the method comprises the steps: collecting a muck image of a slag outlet of a shield tunneling machine and a liquid index of a soil sample corresponding to the muck image to form a data set; carrying out feature extraction on the muck image based on a deep convolutional neural network, outputting multi-layer semantic features, and combining the multi-layer semantic features with the image statistical feature vector to form a fusion feature vector; building a liquid index regression model based on the multi-layer perceptron, inputting a fusion feature vector, and outputting a liquid index predicted value; and a muck flow plasticity classification index is constructed according to the liquid index value and is used for dividing flow plasticity grades. According to the invention, accurate and automatic monitoring of the flow plasticity of the shield muck can be realized.

This invention provides a method for predicting the degree of consolidation and settlement of soil using a horizontal drainage board combined with vacuum preloading. By acquiring the basic parameters of the target soil, the design parameters of the target project, and the vacuum front height, the average pore pressure is calculated based on the consolidation coefficient, water unit weight, initial hydraulic gradient, vacuum load magnitude, maximum drainage distance, and vacuum front height. The average degree of consolidation of the target soil is then calculated by combining the average pore pressure and the vacuum load magnitude. Finally, the settlement of the target soil is calculated by combining the average pore pressure, initial void ratio, compression index, initial effective stress, and maximum drainage distance. This invention can effectively predict the average degree of consolidation and settlement of soil subjected to drainage and consolidation treatment using a horizontal drainage board under vacuum conditions. The prediction results can provide a theoretical basis for the design method of using horizontal drainage boards to treat river silt.

The present application relates to the technical field of shield construction, and provides a soil pressure balance shield muck volume measuring and calculating method based on three-dimensional muck bucket scanning, which comprises the following steps: step 1, preprocessing: filtering out other parts except the muck bucket, wherein the other parts include a railcar head and a pipe piece; step 2, muck bucket separation: dividing the muck bucket into independent point cloud clusters; step 3, coarse segmentation: firstly, removing the point clouds of the left and right side walls of the muck bucket; secondly, removing the point clouds of the front and back side walls of the muck; step 4, fine segmentation: removing the residual point clouds of the front and back side walls again; then, filtering the scattered points left in the above steps, that is, removing noise points; step 5, volume calculation: completing the missing point clouds in the middle of the empty muck bucket, dividing the obtained pure muck surface points into triangular meshes, and realizing muck bucket loading volume calculation; and obtaining the single tunneling ring muck volume by subtracting the full-load muck bucket volume result from the empty-load muck bucket volume result. The present application can preferably measure and calculate the muck volume.

The present application relates to the technical field of foundation treatment, especially to a shallow silt foundation drainage device, comprising a laying frame, a plurality of water suction pipes are arranged in the laying frame, a mesh sieve and a drainage plate are sequentially arranged from top to bottom on the inner side of the laying frame outside the water suction pipes, a drainage pipe is arranged at the top end of the water suction pipe, a vacuum device is arranged at one end of the drainage pipe, the vacuum device is used for pumping out the water in the silt foundation, the water suction pipe comprises a movable pipe, a plurality of positioning pipes are sleeved on the outer side of the movable pipe, and the positioning pipes are fixedly connected with the surfaces of the drainage pipe, the mesh sieve and the drainage plate respectively, in the present application, the movable pipe is rotated by controlling the valve, due to the threaded cooperation between the movable pipe and the positioning pipes, the overall length of the water suction pipe is adjusted, so that the position of the water suction port of the pipeline can be adjusted according to the actual silt layer depth, the drainage operation is accurate and efficient, and the foundation treatment effect is significantly improved.

The invention relates to the technical field of tunnel engineering, and discloses a soil pressure shield spewing prevention and control method and system based on super absorbent resin, a shield tunneling machine and a medium. The soil pressure shield spewing prevention and control method based on the super absorbent resin comprises the steps that geological risk information of a soil pressure shield is obtained; according to the geological risk information, super absorbent resin is sprayed into a soil cabin before tunneling; in the tunneling process, muck water content information and soil cabin pressure information are obtained; and according to the muck water content information and the soil cabin pressure information, super absorbent resin is injected into the soil cabin in the tunneling process, so that spewing prevention and control are completed. The utilization rate of the super absorbent resin can be increased, and the spewing prevention and control efficiency is improved.

The utility model discloses a spiral rotor of a rheometer, which belongs to the technical field of shield muck improvement and comprises a connector used for being connected with a rheometer machine body, the connector is detachably connected with a rotating shaft, the bottom of the rotating shaft is fixedly connected with a measuring head, and a spiral blade is fixedly connected outside the measuring head. And the measuring head and the spiral blade are arranged corresponding to a sample container on the rheometer machine body. According to the utility model, the problem of soil compaction can be solved, the rheological property of the soil body in the spiral conveyor in a flowing state can be reflected more truly, and the accuracy of a measurement result is improved; the measuring head extends into the sample to be measured, the change of soil rheological properties can be more sensitively sensed, powerful support is provided for accurate measurement and evaluation of soil rheological parameters, and a more accurate measurement result can provide technical support and theoretical basis for application of muck improvement in treatment of blockage and spewing of a spiral conveyor.

The invention discloses a device for detecting selenium in silt dam soil, comprising a soil drilling component, a driving component is provided at the upper end of the soil drilling component, an auxiliary component is provided on one side of the driving component, and a processing component is provided on the other side of the driving component. The soil drilling component comprises a drill barrel, the upper and lower ends of the drill barrel are both provided with connecting grooves, rotating shafts are provided on both sides of the bottom end of the drill barrel, the rotating shafts are movably sleeved with connecting rods, the bottom end of the connecting rods is fixedly connected with a drill bit, a cavity is provided inside the drill bit, a lower sleeve is movably sleeved in the cavity of the drill bit, and a uniformly distributed lower return spring is fixedly connected between the lower sleeve and the bottom end of the cavity of the drill bit, a lower micro air pump is provided outside the cavity of the drill bit, a drill tooth is provided at the bottom end of the drill bit, and support plates are provided on both sides of the drill bit. The device for detecting selenium in silt dam soil combines the drilling soil sampling and soil processing processes to make the working process more coherent. The device can cut the soil sample at both ends to improve the quality of the soil sample.

This invention discloses an automatic drainage and modified soil recycling system and its working method for preventing blowouts in shield tunneling screw conveyors, belonging to the field of shield tunneling technology. The automatic drainage and modified soil recycling system for preventing blowouts in shield tunneling screw conveyors includes a screw conveyor, a high-pressure automatic drainage system, and a modified soil recycling system. The high-pressure automatic drainage system includes four water pressure relief valves evenly spaced along the axial direction of the screw conveyor on its upper side. These valves are connected to drainage pipelines and are uniformly regulated by a drainage integrated system. The modified soil recycling system includes a transfer box, a transverse conveying device, a return conveying device, and a soil conditioner injection system. Through the coordinated operation of the high-pressure automatic drainage system and the modified soil recycling system, real-time intelligent control of the water pressure within the screw conveyor and efficient recycling of the modified soil are achieved, effectively reducing the risk of blowouts, improving the soil conditioner effect, and reducing the use of chemical agents.

The application discloses a high-water-content shield muck crushing device and method, which comprises a shell, a feeding port, a crushing mechanism, a dehydration mechanism, a separation mechanism, a muck identification system and a control system. The crushing mechanism is connected with the shell at both ends and is installed on the outer wall of the shell. The top of the shell is provided with the feeding port for the input of the soil material. The lower part of the crushing mechanism is provided with the dehydration mechanism. The lower surface of the dehydration mechanism is a separation filter screen. The lower part of the dehydration mechanism is a drainage plate. The muck identification system comprises a feeding conveyor belt, a support and an identification device. The identification device is installed above the feeding conveyor belt through the support. The identification device comprises a laser scanning sensor, an infrared sensor and a thermal imager. The laser scanning sensor is used for detecting the particle shape and size of the shield muck. The infrared sensor is used for detecting the temperature of the muck. The thermal imager is used for providing a temperature distribution diagram. The control system controls the crushing mechanism according to the data detected by the laser scanning sensor, the infrared sensor and the thermal imager.

The invention relates to the technical field of rock soil and bridge foundation engineering, and particularly provides a method for calculating the vertical bearing capacity of ultra-deep and thick mucky soft soil ultra-long pile groups. The method comprises the steps that parameters are obtained and inverted, and a three-dimensional saturated soft soil u-p coupling model is constructed; carrying out construction-consolidation-immersion time sequence simulation, multi-source traffic dynamic load construction and coupling transmission; pile-soil interface bonding-sliding-softening constitutive, negative friction and neutral point recognition and redistribution updating; performing energy judgment of pile group efficiency and cyclic dynamic effect decrement evaluation; obtaining a static-dynamic expression and an algorithm of the vertical bearing capacity; service settlement, DAF and reliability consistency criteria are carried out; design and operation parameters are automatically optimized, and a software system and a data stream are realized; according to the method, the spectral characteristics and the transmission path of the multi-source traffic dynamic load can be accurately represented, and the energy dissipation and the efficiency change of the pile group can be quantified.

This invention belongs to the field of earth pressure balance shield tunneling technology, specifically relating to a device for detecting the effect of soil improvement on earth pressure balance shield tunneling and its application. The technical solution of this invention is as follows: A device for detecting the effect of soil improvement on earth pressure balance shield tunneling includes an upper frame, a lower frame, casters, a test module, and a monitoring and control module. The casters are located at the bottom of the lower frame, and the upper frame is mounted on the lower frame. The test module and the monitoring and control module are placed within the upper and lower frames. The test module is used to conduct shear tests, slump tests, and pressure permeability tests. The monitoring and control module is used for equipment operation, data collection, data calculation, and effect evaluation. This invention can simulate the physical and mechanical properties of the soil during actual shield tunneling excavation and muck removal, and intuitively evaluate the smoothness of soil removal. It can simulate the actual pressure value of the shield tunneling soil chamber, and evaluate the homogeneity and fluidity of the improved soil from a new perspective of soil force transmission efficiency and apparent density.

The invention relates to the technical field of ecological environmental protection, and discloses an artificial kandelia candel forest ecological system carbon sequestration and sink increase method, which comprises two core modules, namely an accurate monitoring system construction module and a vegetation and soil collaborative cultivation module. According to the precise monitoring system, precise recognition of the ecological state of the artificial kandelia candel forest is achieved through tide cooperation flight planning, multi-index conjoint analysis and masking and radiometric calibration and standardization, vegetation and soil cooperation cultivation is directionally optimized based on the monitoring result, and finally the carbon sequestration and sink increasing capacity is improved. According to the method, the low-tide-level illumination stable time period is locked through tide cooperative flight planning, the vegetation index is adjusted in combination with an NDWI water body mask and MSAVI soil, and water surface reflection and silt background interference are thoroughly eliminated; according to the method, ground felling or close-range plant contact is not needed, and the damage of traditional investigation to the ecological structure of the kandelia candel forest is avoided through long-distance non-contact monitoring of the multispectral unmanned aerial vehicle.

The invention discloses a muddy soil treatment effect data prediction method based on deep learning, and particularly relates to the technical field of treatment effect prediction. The problems that in the solidification and drainage process of mucky soil, the pore structure evolution is complex, and permeability mutation is difficult to predict are solved; the method comprises the following steps: scanning a target mucky soil sample in different solidification stages to generate a spatial structure voxel model, extracting pore topological parameters, and constructing a pore multilevel communication feature tensor; identifying critical mutation pore nodes through a graph traversal algorithm, and extracting corresponding pore geometric variation characteristic quantities; inputting the pore geometric variation characteristic quantity into a graph neural network model, and outputting a microcosmic pore structure mutation risk value; a multi-modal attention mechanism is introduced in combination with soil body solidification environment parameters, and a permeability coefficient transition prediction value is generated; according to the permeability coefficient transition prediction value, drainage scheme optimization solution is executed, and the prediction precision and drainage decision reasonability in the sludge soil foundation treatment process are remarkably improved.

The application discloses a kind of utility evaluation and proportioning optimization method of solid waste in silt soft soil treatment in the technical field of inorganic composite material.The method comprises the following steps: S1: carry out pH value test and x fluorescence test to the industrial solid waste to be used, the industrial solid waste to be used is divided into two categories: I is silicon aluminum base waste residue or alkaline waste residue, II is gypsum base waste residue;S2: construct the strength prediction model of pure cement silt solidified soil, and carry out coefficient calibration;S3: based on the strength prediction model of pure cement silt solidified soil, construct the strength prediction model of waste residue base silt solidified soil, and carry out coefficient calibration;S4: according to waste residue base silt solidified soil strength prediction model, the proportioning of each type of waste residue is optimized and adjusted.The utility evaluation and proportioning optimization method based on the strength prediction model of waste residue base silt solidified soil can not only realize the rapid and effective evaluation of silt solidified soil strength under different waste residue proportioning, but also optimize the waste residue proportioning in solidified silt soil.

The application discloses a kind of muck height measuring method and device of shield machine soil bin and shield machine, it is arranged on the inner wall of soil bin by pre-arranging height mark, height value character and M character arranged according to certain horizontal, longitudinal spacing, first with height mark, height value character and M character as mark, image acquisition is carried out after sample set is made, then training target detection model is carried out using sample set, then the height mark, height value character and M character in muck accumulation image are predicted and identified using the target detection model trained, finally, based on the prediction result, the height value of multiple muck height measuring points is intelligently calculated.The application measures muck height using machine vision technology, compared with the existing indirect measurement method of pressure, the soil bin muck height at different positions can be accurately measured, the whole measurement process is intelligent, without manual opening measurement, safe and reliable.

The invention relates to a sludge biochar-based ecological slope protection material as well as a preparation method and application thereof. The material comprises the following raw material components in parts by weight: 10-15 parts of sludge-based biochar, 60-70 parts of pretreated sludge, 5-10 parts of cement and 3-5 parts of a stabilizer. Wherein the pretreated sludge is prepared by dehydrating, solidifying and drying sludge, and the sludge-based biochar is biochar prepared by performing high-temperature pyrolysis on the pretreated sludge. Compared with the prior art, reduction, recycling and harmlessness treatment of the sludge is achieved, and the ecological slope protection material which is good in stability, excellent in ecological restoration function and high in landscape fusion degree is prepared.

The invention relates to the field of water and soil loss prediction, in particular to a slope water and soil loss prediction system for a channel type waste slag field, which comprises an image acquisition module, an image processing module, a data processing module, a data processing module and a data processing module, and is characterized in that the image acquisition module is used for acquiring a slope single-stage cut slope surface image, and the image processing module is used for constructing a particle size curve from a slope top to a slope bottom; the water seepage measuring module is used for measuring a first water seepage rate and a second water seepage rate of muck at a plurality of point positions from the slope top to the slope bottom of the single-stage cut slope, and the water seepage data processing module is used for constructing a first water seepage curve and a second water seepage curve from the slope top to the slope bottom; the checking module is used for checking whether the water and soil conservation of the single-stage cut slope meets a preset standard or not according to the average slope of the first water seepage curve when the water and soil conservation of the single-stage cut slope is preliminarily judged not to meet the preset standard according to the average slope of the particle size curve; and the prediction analysis module is used for determining a corresponding single-stage slope cutting correction mode according to the average slope of the second water seepage curve. According to the invention, the prediction precision of the water and soil loss trend of the side slope where muck accumulation is completed is improved.

The application provides a shield muck improvement intelligent decision-making method and system based on mechanism and model fusion, and belongs to the technical field of intelligent underground engineering. The method comprises the following steps: collecting representative stratum soil samples in a construction section, carrying out a slump test and a rheological test on the prepared samples, obtaining data of a flow plasticity index representing muck flow plasticity, and extracting a muck improvement physical boundary; collecting historical time series data in a shield continuous tunneling process for pretreatment, and constructing a training sample set; training a Transform time series regression model based on the training sample set, and predicting corresponding performance parameters based on the trained Transform time series regression model; under the constraint of the muck improvement physical boundary, constructing a multi-objective optimization model based on the predicted key performance parameters, obtaining a Pareto optimal control parameter solution set based on an NSGA-II evolution algorithm, and screening a recommended scheme from the Pareto optimal control parameter solution set. The application realizes the change of shield muck improvement from experience driving to mechanism and data fusion driving.